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At Samsara, we are helping improve the safety, efficiency and sustainability of the physical operations that power our global economy. Representing more than 40% of global GDP, these industries are the infrastructure of our planet, including agriculture, construction, field services, transportation, and manufacturing — and we are excited to help digitally transform their operations at scale. \n Working at Samsara means you’ll help define the future of physical operations and be on a team that’s shaping an exciting array of product solutions, including Video-Based Safety, Vehicle Telematics, Apps and Driver Workflows, and Equipment Monitoring. As part of a recently public company, you’ll have the autonomy and support to make an impact as we build for the long term. \n About the role: \n Want to build the data foundation powering AI and self-serve analytics at scale? As part of Samsara's Marketing Data and Analytics (MDA) Engineering team, you will shape the technical roadmap alongside our BI and Data Science peers. You will architect core Databricks pipelines, Gold Layer tables, and semantic models, turning ambitious, ambiguous business challenges into high-value data products, autonomous agents, and cross-functional automation.\n This role is open to candidates residing in the US.\n You should apply if: \n \n You want to impact the industries that run our world: Your efforts will result in real-world impact – helping to keep the lights on, get food into grocery stores, reduce emissions, and most importantly, ensure workers return home safely.\n You are the architect of your own career: If you put in the work, this role won’t be your last at Samsara. We set up our employees for success and have built a culture that encourages rapid career development, countless opportunities to experiment and master your craft in a hyper growth environment.\n You’re energized by our opportunity: The vision we have to digitize large sectors of the global economy requires your full focus and best efforts to bring forth creative, ambitious ideas for our customers.\n You want to be with the best: At Samsara, we win together, celebrate together and support each other. You will be surrounded by a high-calibre team that will encourage you to do your best. \n \n In this role, you will: \n \n Partner on defining the strategy and multi-quarter roadmap for MDA's data and AI foundation.\n Architect and own Samsara's marketing data infrastructure: ETL/ELT pipelines, Databricks Gold Layer tables, and the core data models that power segmentation, targeting, automation, and analytics.\n Design the semantic layers, data dictionaries, and structured documentation that enable self-serve BI and conversational analytics, partnering with the BI team to ensure core sales and marketing KPIs are built on trusted, well-modeled data.\n Translate ambiguous business questions from Marketing, Sales, and R\u0026D into clear requirements and scalable solutions, working autonomously without dedicated PM support and influencing decisions with data and sound reasoning.\n Lead complex, cross-team initiatives end to end: stand up new data pipelines and integrations quickly, manage risk across interdependent teams, and own the reliability and data quality of what ships.\n Serve as the senior technical lead for the team's hardest problems: raise the bar for engineering quality and code review, remove bottlenecks that slow multiple teams, and mentor engineers and analysts. \n Drive the strategic use of AI to solve ambiguous, high-impact problems: build AI-enabled data products and agents, with the integrations, retrieval pipelines, and evaluation practices that keep them reliable and trustworthy.\n Identify and automate manual workflows with AI across Marketing and GTM teams, taking ideas from concept to prototype to production and influencing org roadmaps.\n Ship high-quality Python and SQL, increasingly by directing agentic coding tools, while holding a high bar for reviewing and verifying AI-generated work before it reaches production.\n Champion, role model, and embed Samsara’s cultural principles (Focus on Customer Success, Build for the Long Term, Adopt a Growth Mindset, Be Inclusive, Win as a Team) as we scale globally and across new offices.\n \n Minimum requirements for the role: \n \n 8+ years of experience in data engineering, analytics engineering, or AI engineering, including deep hands-on data engineering experience.\n Expert-level Python and SQL, with strong hands-on data modeling and DBT experience.\n Deep experience with data warehouse and lakehouse architectures, ETL/ELT, and the modern data stack, including hands-on Databricks (or similar, such as Snowflake or BigQuery).\n Experience building sema","salary_min":137445,"salary_max":231000,"location":"Chicago, IL","workplace":"hybrid","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["llm","agents","fine-tuning","data-pipeline"],"apply_url":"https://www.samsara.com/company/careers/roles/8281490?gh_jid=8281490","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-10-14T14:42:51Z","expires_at":"2026-11-13T16:55:44.363812Z","created_at":"2026-10-14T15:19:50.593246Z","updated_at":"2026-10-14T16:55:44.366919Z","company_name":"Samsara","company_slug":"samsara","company_logo_url":"https://www.google.com/s2/favicons?domain=www.samsara.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/d1f23f74-64a2-4091-ad96-0a63c47efea2"},{"id":"ebf01d34-f36c-4733-9129-c60c1618e687","company_id":"01b03876-5b01-47ab-82b9-696293e861b9","title":"Senior AI Data \u0026 Analytics Engineer II","slug":"senior-ai-data-analytics-engineer-ii-6a45f587","description":"Who we are \n Samsara (NYSE: IOT) is the pioneer of the Connected Operations™ Cloud, which is a platform that enables organizations that depend on physical operations to harness Internet of Things (IoT) data to develop actionable insights and improve their operations. At Samsara, we are helping improve the safety, efficiency and sustainability of the physical operations that power our global economy. Representing more than 40% of global GDP, these industries are the infrastructure of our planet, including agriculture, construction, field services, transportation, and manufacturing — and we are excited to help digitally transform their operations at scale. \n Working at Samsara means you’ll help define the future of physical operations and be on a team that’s shaping an exciting array of product solutions, including Video-Based Safety, Vehicle Telematics, Apps and Driver Workflows, and Equipment Monitoring. As part of a recently public company, you’ll have the autonomy and support to make an impact as we build for the long term. \n About the role: \n Want to build the data foundation powering AI and self-serve analytics at scale? As part of Samsara's Marketing Data and Analytics (MDA) Engineering team, you will shape the technical roadmap alongside our BI and Data Science peers. You will architect core Databricks pipelines, Gold Layer tables, and semantic models, turning ambitious, ambiguous business challenges into high-value data products, autonomous agents, and cross-functional automation.\n This role is open to candidates residing in the US.\n You should apply if: \n \n You want to impact the industries that run our world: Your efforts will result in real-world impact – helping to keep the lights on, get food into grocery stores, reduce emissions, and most importantly, ensure workers return home safely.\n You are the architect of your own career: If you put in the work, this role won’t be your last at Samsara. We set up our employees for success and have built a culture that encourages rapid career development, countless opportunities to experiment and master your craft in a hyper growth environment.\n You’re energized by our opportunity: The vision we have to digitize large sectors of the global economy requires your full focus and best efforts to bring forth creative, ambitious ideas for our customers.\n You want to be with the best: At Samsara, we win together, celebrate together and support each other. You will be surrounded by a high-calibre team that will encourage you to do your best. \n \n In this role, you will: \n \n Partner on defining the strategy and multi-quarter roadmap for MDA's data and AI foundation.\n Architect and own Samsara's marketing data infrastructure: ETL/ELT pipelines, Databricks Gold Layer tables, and the core data models that power segmentation, targeting, automation, and analytics.\n Design the semantic layers, data dictionaries, and structured documentation that enable self-serve BI and conversational analytics, partnering with the BI team to ensure core sales and marketing KPIs are built on trusted, well-modeled data.\n Translate ambiguous business questions from Marketing, Sales, and R\u0026D into clear requirements and scalable solutions, working autonomously without dedicated PM support and influencing decisions with data and sound reasoning.\n Lead complex, cross-team initiatives end to end: stand up new data pipelines and integrations quickly, manage risk across interdependent teams, and own the reliability and data quality of what ships.\n Serve as the senior technical lead for the team's hardest problems: raise the bar for engineering quality and code review, remove bottlenecks that slow multiple teams, and mentor engineers and analysts. \n Drive the strategic use of AI to solve ambiguous, high-impact problems: build AI-enabled data products and agents, with the integrations, retrieval pipelines, and evaluation practices that keep them reliable and trustworthy.\n Identify and automate manual workflows with AI across Marketing and GTM teams, taking ideas from concept to prototype to production and influencing org roadmaps.\n Ship high-quality Python and SQL, increasingly by directing agentic coding tools, while holding a high bar for reviewing and verifying AI-generated work before it reaches production.\n Champion, role model, and embed Samsara’s cultural principles (Focus on Customer Success, Build for the Long Term, Adopt a Growth Mindset, Be Inclusive, Win as a Team) as we scale globally and across new offices.\n \n Minimum requirements for the role: \n \n 8+ years of experience in data engineering, analytics engineering, or AI engineering, including deep hands-on data engineering experience.\n Expert-level Python and SQL, with strong hands-on data modeling and DBT experience.\n Deep experience with data warehouse and lakehouse architectures, ETL/ELT, and the modern data stack, including hands-on Databricks (or similar, such as Snowflake or BigQuery).\n Experience building sema","salary_min":137445,"salary_max":231000,"location":"Austin, TX","workplace":"hybrid","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["fine-tuning","data-pipeline","llm","agents"],"apply_url":"https://www.samsara.com/company/careers/roles/8281489?gh_jid=8281489","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-10-14T14:42:13Z","expires_at":"2026-11-13T16:55:44.36902Z","created_at":"2026-10-14T15:19:50.665308Z","updated_at":"2026-10-14T16:55:44.37195Z","company_name":"Samsara","company_slug":"samsara","company_logo_url":"https://www.google.com/s2/favicons?domain=www.samsara.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/ebf01d34-f36c-4733-9129-c60c1618e687"},{"id":"f775cd66-297f-48c7-b9f6-9a10c329a36b","company_id":"52f44519-9f93-4eac-ae0b-8be13e385ebe","title":"Member of Design Staff","slug":"member-of-design-staff-41142675","description":"MEMBER OF DESIGN STAFF\n\n\n\nFirecrawl ships fast, and right now our visuals can't keep up. We're looking for a designer with real taste who builds their own AI systems to make great launch work fast. You'll work side by side with Rhys, our Creative Lead, on every launch we ship. Together you'll build Alloy, the AI workspace where our brand and creative tools live. Your work will be the first thing millions of developers see from us.\n\n\n\nSalary Range: $196,000–$220,000 USD/year\n\nEquity Range: Competitive equity. Details shared during the process.\n\nLocation: San Francisco, CA (SF HQ). In office 3+ days a week.\n\nJob Type: Full-time\n\nExperience: 5+ years\n\nWork Authorization: Must be authorized to work in the United States. We support candidates already in the US who need a transfer or existing status (H-1B transfers, F-1 OPT/STEM OPT), plus TN and E-3. We’re not able to start new H-1B sponsorship for candidates outside the US.\n\n\n\n\nABOUT FIRECRAWL\n\nFirecrawl is the easiest way to turn the web into data AI agents can use. One API call converts any URL into clean, LLM-ready markdown or structured data. It's the boring-hard problem everyone building with LLMs eventually hits, solved.\n\nIn September 2026, we raised a $75M Series B led by Smash Capital, and we're spending it building the largest repository of knowledge in the world. We hit 8 figures in ARR in year one and more than doubled it in year two. We have 187k+ GitHub stars, putting us in the top 40 repositories of all time, and developers, agents, and category-defining AI companies build on us every day. Growth like this is rare, and we're just getting started.\n\nWe're a small team punching far above our weight. Everyone here owns a real piece of the product and company, end to end, and runs it themselves. No hiding behind process or headcount.\n\nThis is a place for people who want to work at the frontier: an AI company building the infrastructure other AI companies run on, not one bolting AI onto an existing product. We move fast, go deep, and are building the tools superintelligence will rely on to gather data from the web. That library is called Alexandria, and it starts now.\n\n\n\n\nWHAT YOU'LL DO\n\n - Design and animate launch videos and social assets for a constant launch cadence, so visuals are never the thing slowing a launch down.\n\n - Concept launches with Rhys from the first idea, and push back when a brief is wrong.\n\n - Build the systems that make this fast. When something takes too long by hand, you build the tool, agent workflow or reusable primitive that fixes it and add it to Alloy.\n\n - Shape our brand system in Alloy, from type and color to motion and the rules that make it feel like us.\n\n\n\n\nWHAT WE'RE LOOKING FOR\n\nTwo things matter most.\n\n - Taste you can see in a launch video. You've made at least one launch video we'd love, with AI or without it, and you can show us exactly what you owned.\n\n - Systems you built to make it fast. You build your own tools and workflows with AI so you can make great work really quickly. You don't need an engineering background.\n\nBeyond those, we look for a few more things.\n\n - You make the call. There's no committee or approval chain. You'll work directly with Rhys and Eric, and you're expected to push back and own the outcome.\n\n - Nice to have. Range across formats like posters and illustration, and After Effects fluency.\n\nBackgrounds that often do well include a motion or brand designer at an AI or devtools startup who owns launches end to end, and a designer or creative technologist who has built their own creative tools with AI.\n\n\n\n\nWHAT WE'RE NOT LOOKING FOR\n\n - Engineers who design on the side. Design is the job.\n\n - Static-only portfolios. Motion is core to the job.\n\n - Anyone who needs a long brief and a long timeline to do great work.\n\n\n\n\nA NOTE ON PACE\n\nWe operate at an absurd level of urgency because the window for what we're building won't stay open forever. If that excites you, keep reading. If it doesn't, no hard feelings, but this role probably isn't for you.\n\n\n\n\nBENEFITS \u0026 PERKS\n\n\n\n\nAVAILABLE TO ALL EMPLOYEES\n\n - Salary that makes sense: $196,000–$220,000 USD/year, based on impact, not tenure\n\n - Own a piece: Gain competitive equity in what you're helping build\n\n - Generous PTO: 15 days mandatory, anything after 24 days, just ask (holidays excluded). Take the time you need to recharge\n\n - Parental leave: 12 weeks fully paid, for all parents\n\n - Wellness stipend: $100 USD/month for the gym, therapy, massages, or whatever keeps you human\n\n - Learning \u0026 Development: Expense up to $1,000 USD/year toward anything that helps you grow professionally\n\n - Team offsites: A change of scenery, minus the trust falls\n\n - Sabbatical: 3 paid months off after 4 years, do something fun and new\n\n\n\n\nAVAILABLE TO US-BASED FULL-TIME EMPLOYEES\n\n - Full coverage, no red tape: Medical, dental, and vision (100% for employees, 50% for partner and kids). No weird loopholes, just care that works\n\n - Life \u0026 Disability insurance:","salary_min":196000,"salary_max":220000,"location":"San Francisco, CA","workplace":"remote","remote_scope":"restricted","job_type":"full-time","experience_level":"lead","tags":["payments","agents","data-pipeline","llm"],"apply_url":"https://jobs.ashbyhq.com/firecrawl/36fa90fa-69c0-4591-ad98-435738f36925/application","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-10-14T03:25:22.913Z","expires_at":"2026-11-13T17:00:14.091632Z","created_at":"2026-10-14T15:23:48.967274Z","updated_at":"2026-10-14T17:00:14.094755Z","company_name":"Firecrawl","company_slug":"firecrawl","company_logo_url":"https://www.google.com/s2/favicons?domain=firecrawl.dev\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/f775cd66-297f-48c7-b9f6-9a10c329a36b"},{"id":"2b1514f0-20bf-4830-9fdc-23e5c0f8bbed","company_id":"a25140f5-772d-4c47-947d-7c655ed80737","title":"Senior Software Engineer - Normalization Platform","slug":"senior-software-engineer-normalization-platform-451aa2a7","description":"Senior Software Engineer - Normalization Platform \n Truveta is the world’s first health provider led data platform with a vision of Saving Lives with Data. Our mission is to enable researchers to find cures faster, empower every clinician to be an expert, and help families make the most informed decisions about their care. Achieving Truveta’ s ambitious vision requires an incredible team of talented and inspired people with a special combination of health, software and big data experience who share our company values . \n This position is based out of our headquarters in the Greater Seattle area.  #LI-hybrid \n Who We Need   \n Truveta is rapidly building a talented and diverse team to tackle complex health and technical challenges. We are seeking candidates inspired by the opportunity to apply data in the development of real-world health solutions. Beyond core capabilities, we are seeking problem solvers, passionate and collaborative teammates, and those willing to roll up their sleeves while making a difference.     \n If you are interested in the opportunity to pursue purposeful work, join a mission-driven team, and build a rewarding career while having fun, Truveta may be the perfect fit for you.  \n This Opportunity   \n Truveta's mission is Saving Lives with Data: helping researchers find cures faster, empowering every clinician to be an expert, and helping families make the most informed decisions about their care. Semantic normalization is where that data becomes usable. Health systems describe the same diagnosis, lab result, or medication in countless ways, and our platform maps each one to a standard medical concept, so researchers can study data from many health systems as one. Every dataset Truveta delivers runs through it.   \n As a Senior Software Engineer, you will own major pieces of the platform's next-generation architecture. You will scale the service for both the volume and the variety of its workloads, building a flexible system that keeps pace with Truveta's growing data volume and expanding range of data sources.   \n We are seeking backend engineers who: \n \n \n Have proven experience building reliable, secure, and scalable software solutions using modern cloud-based paradigms   \n Are quick learners who can iterate on and evolve distributed software solutions while carefully balancing privacy, security, and reliability requirements with a changing product landscape   \n Have knowledge of and experience designing and working with distributed systems, data pipelines, and APIs   \n Can guide workstreams, mentor and inspire junior developers, and cultivate a positive work environment   \n Adhere to Truveta principles in support of ethical innovation   \n Are committed to ongoing training on key topics such as privacy, ethics, and security   \n \n Key Qualifications:   \n \n 5+ years of experience building production-quality software in a team setting   \n Experience building cloud services or data pipelines in Java, Python, or C#   \n Experience building and supporting cross-platform, multi-tenant services   \n 2+ years of experience on cloud-native platforms (AWS, GCP, or Azure)   \n B.S. or M.S. in Computer Science or a related field   \n InfraOps or DevOps experience is a plus   \n Kubernetes experience is a plus   \n Healthcare domain experience is a plus   \n Experience with AI agents is a plus   \n \n Why Truveta? \n Be a part of building something special. Now is the perfect time to join Truveta. We have strong, established leadership with decades of success. We are well-funded. We are building a culture that prioritizes people and their passions across personal, professional, and everything in between. Join us as we build an amazing company together. \n We Offer: \n \n Interesting and meaningful work for every career stage \n Great benefits package \n Comprehensive benefits with strong medical, dental and vision insurance plans \n 401K plan \n Professional development \u0026 training opportunities for continuous learning \n Work/life autonomy via flexible work hours and flexible paid time off \n Generous parental leave \n Regular team activities (virtual and in-person) \n The base pay for this position is $155,000 to $190,000. The pay range reflects the minimum and maximum target. Pay is based on several factors including location and may vary depending on job-related knowledge, skills, and experience. Certain roles are eligible for additional compensation such as incentive pay and stock options. \n \n If you are based in California, we encourage you to read this important information for California residents linked here. \n Truveta is committed to creating a diverse, inclusive, and empowering workplace. We believe that having employees, interns, and contractors with diverse backgrounds enables Truveta to better meet our mission and serve patients and health communities around the world. We recognize that opportunities in technology historically excluded and continue to disprop","salary_min":155000,"salary_max":190000,"location":"Seattle, WA","workplace":"hybrid","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["agents","healthcare","distributed-systems","data-pipeline","platform"],"apply_url":"https://job-boards.greenhouse.io/truveta/jobs/6223732004","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-10-13T23:29:02Z","expires_at":"2026-11-13T17:00:07.879355Z","created_at":"2026-10-14T15:23:39.300558Z","updated_at":"2026-10-14T17:00:07.882558Z","company_name":"Truveta","company_slug":"truveta","company_logo_url":"https://www.google.com/s2/favicons?domain=truveta.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/2b1514f0-20bf-4830-9fdc-23e5c0f8bbed"},{"id":"1a82c95f-d83c-420a-b3ab-74958d3adc4b","company_id":"3dacb2af-b4b4-42ae-9b16-4e0203d290e4","title":"Simulation Engineering Intern, Summer 2027","slug":"simulation-engineering-intern-summer-2027-747b710c","description":"About Wing:  \n Wing offers drone delivery as a safe, fast, and sustainable solution for last mile logistics. Consumer appetites for on-demand services are increasing, but current delivery methods are inefficient, costly, and contribute to road accidents and air pollution. Wing’s fleet of highly automated delivery drones can transport small packages directly from businesses to homes on-demand, in minutes. We design, build, and operate our aircraft, and offer drone delivery services on two continents. Our technology is designed to be easy to integrate into existing delivery and logistics networks, offering a scalable drone delivery solution for a broad range of businesses. Wing is a part of Google's parent company, Alphabet, and our mission is to create the preferred means of delivery for the planet. If you're ready to do the greatest work of your life, come join us. \n About the Program:  \n Join Wing's 12-week paid summer internship! This is a hybrid, in-person program based in Palo Alto, CA, with start dates in May or June. Eligible candidates must be a current student enrolled in a degree program and intend to return to the program after the completion of the summer internship. \n About the Role: \n Wing is looking for a Simulation Engineer Intern to join our Simulation \u0026 Evaluation Team based in Palo Alto, CA . \n Our team develops tools that enable engineers to develop, test and deploy features efficiently and at scale. Our work spans vehicle physics and sensor modeling, large-scale simulation frameworks, test infrastructure for backend verification, integrated avionics and system testing, and foundational ML technologies such as world-modelling, 3D reconstruction and sim2real. Our team is dedicated to ensuring simulation is the fastest and most reliable way to test changes to our system and to enable safer and faster feature development.\n The successful candidate is able to demonstrate adeptness at software development, system modeling and simulation, 3D geometry, and RL techniques. We are looking for individuals with strong written and verbal communication skills who thrive collaborating across multidisciplinary teams, spanning Simulation, Perception, and GNC, and who can tackle complex, open-ended engineering problems.\n In this role you will:  \n \n Explore new and creative ways to use our wealth of real-world flight data to help validate our flight software.\n Build closed-loop simulation environments using real flight telemetry to enable counterfactual rollouts and policy evaluation for RL-based flight autonomy\n Leverage large-scale simulation and data pipelines to run critical experiments, draw actionable engineering insights, and contribute alongside a dedicated team committed to supporting your mentorship and growth.\n Make a measurable impact on Wing's ability to scale our operations more rapidly, at the forefront of the rapidly growing drone delivery industry.\n \n What You’ll Need:  \n \n Currently pursuing a Bachelor's, Master's or PhD degree in Aerospace Engineering, Mechanical Engineering, Computer Science, Computer Vision, Robotics, Electrical Engineering or related field, graduating between December 2027 and August 2028.\n Strong examples of previous engineering experience from past internships and/or academic or extracurricular projects.\n Strong grasp of dynamical systems, linear algebra, 3D geometry, and vision-based autonomy.\n Experience with C++ and/or Python.\n Experience with using some numerical or statistics library and environment (e.g. numpy, scipy, pandas, Matlab, R, etc.) to analyze real-world data (e.g. fitting models, simple ML approaches).\n Strong written and verbal communication skills with the ability to explain complex technical concepts across disciplines.\n The US base salary range for this internship position is the salary range below + benefits. Wing’s salary ranges are determined by role, level, and location. Your recruiter can share more about the specific salary range for your location during the hiring process.\n Salary Range\n $128,000 — $135,000 USD \n Wing is an equal opportunity employer and it is Wing's policy to comply with all applicable national, state and local laws pertaining to nondiscrimination and equal opportunity. Employment at Wing is based solely on a person's merit and qualifications directly related to professional competence. Wing does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), or any other basis protected by law.\n If you have a need that requires accommodation during the interview process due to a disability or special need, please let us know by completing our  Candidate Accommodations Request Form .","salary_min":128000,"salary_max":135000,"location":"Palo Alto, CA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"junior","tags":["robotics","computer-vision","computer-graphics","data-pipeline","cloud"],"apply_url":"https://wing.com/careers/8872478002?gh_jid=8872478002","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-10-13T22:00:01Z","expires_at":"2026-11-13T17:02:54.772498Z","created_at":"2026-10-14T15:24:57.804897Z","updated_at":"2026-10-14T17:02:54.775169Z","company_name":"Wing","company_slug":"wing","company_logo_url":"https://www.google.com/s2/favicons?domain=wing.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/1a82c95f-d83c-420a-b3ab-74958d3adc4b"},{"id":"972adbf0-5b20-4db8-9e6c-f42932f2c665","company_id":"76c63eb7-c307-4322-8c2b-c20216feec49","title":"Principal Software Engineer, Agentic Data Platform","slug":"principal-software-engineer-agentic-data-platform-70ab45e1","description":"Get to Know Us\n\nHorizon3.ai http://Horizon3.ai is a fast-growing, remote cybersecurity company dedicated to the mission of enabling organizations to proactively find, fix and verify exploitable attack vectors before criminals exploit them. Our flagship product, the NodeZero™ platform, delivers production-safe autonomous pentests and other key assessment operations that scale across the largest internal, external, cloud, and hybrid cloud environments. NodeZero has been adopted by organizations of all sizes, from small educational institutions to government agencies and Global 100 enterprises. It is used by IT Ops/SecOps teams, consulting pentesters, and MSSPs and MSPs.\n\nWe are a fusion of former U.S. Special Operations cyber operators, startup engineers \u0026 operators, and formerly frustrated cybersecurity practitioners. We're committed to helping solve our common security problems: ineffective security tools and false positives, resulting in alert fatigue, blind spots, \"checkbox\" security culture, cybersecurity skills shortage, and the long lead time and expense of hiring outside consultants. Collectively, we are a team of learn-it-alls, committed to a culture of respect, collaboration, ownership, and results.\n\nAs a remote first company, we require minimum 25Mbps consumer grade broadband connection.\n\n \n\nWhat You'll Do\n\nThe Principal Engineer for Database Platform is the technical anchor of NodeZero's data infrastructure. This is an individual contributor role with no direct reports — your influence is through technical leadership, architecture ownership, and raising the engineering bar across the team. You own the most consequential database architecture decisions, define the standards that govern how NodeZero stores, queries, and migrates data at scale, and ensure the data layer can support NodeZero's growth — more customers, larger environments, more pentest data — without requiring proportional operational effort. This is a deeply hands-on role: you will write code, author design documents, and set the technical direction that every engineer on the Database Platform team builds toward.\n\nNodeZero's data layer is not simple. We store millions of discovered assets, graph-structured attack paths, time-series vulnerability data, and audit-critical pentest results — across a multi-tenant architecture where correctness and data isolation are non-negotiable. You will be the person who makes the hardest data architecture calls and ensures the team has the technical foundations to build reliably on.\n\n - Technical Strategy: Define and drive the technical roadmap for the Database Platform in partnership with the Senior Engineering Manager and the broader Pentest Platform organization.\n\n - Architecture Leadership: Own the most complex database architecture decisions — schema design, partitioning strategies, migration patterns, and scalability approaches. Produce design documents that become the shared technical model for the team.\n\n - PostgreSQL Excellence: Be NodeZero's definitive expert on PostgreSQL at scale — query optimization, indexing, partitioning, replication, and connection pooling. Set the standards the team follows and catch the problems others miss.\n\n - Graph \u0026 Multi-model Data: Architect and guide the evolution of NodeZero's graph-based asset model — the data structure that represents how discovered hosts, services, credentials, and vulnerabilities relate to each other across pentests.\n\n - Schema Governance: Own schema design review processes. Ensure every migration is safe, reversible, and zero-downtime. Build the tooling and culture that treats schema changes with the same rigor as production code changes.\n\n - Mentorship \u0026 Bar Raising: Mentor P5 and P4 engineers through code review, design review, and pairing. Be the person on the team that raises everyone else's ceiling.\n\n - Cross-functional Influence: Partner with Data Ingestion, Asset Inventory, API Platform, and Security Research to define data contracts, query performance standards, and architectural guardrails that span the full data pipeline.\n\n \n\nWhat You'll Bring\n\nTechnical Depth\n\n - Deep, production-proven PostgreSQL expertise: query planner internals, advanced indexing (partial, expression, GiST/GIN), partitioning strategies, logical replication, vacuuming at scale, and connection pool tuning.\n\n - Experience architecting multi-tenant databases at scale: row-level security, tenant isolation, schema-per-tenant vs. shared-schema tradeoffs.\n\n - Experience with schema migration at scale in production systems: zero-downtime migrations, backwards-compatible schema evolution, and migration tooling (Flyway, golang-migrate, or equivalent).\n\n - Familiarity with graph data models and graph databases (Neo4j, AWS Neptune) or graph-like query patterns in relational systems (recursive CTEs, ltree, adjacency list).\n\n - Proficient in Go or Python — able to write production application code, not just SQL.\n\nArchitecture \u0026 Design\n\n - Demonstrate","salary_min":255000,"salary_max":290000,"location":"Remote (US)","workplace":"hybrid","remote_scope":"not_remote","job_type":"full-time","experience_level":"principal","tags":["security","agents","cloud","data-pipeline","platform"],"apply_url":"https://jobs.ashbyhq.com/horizon3ai/61bab297-9f6c-40d8-a7af-99ff61066943/application","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-10-13T20:23:08.726Z","expires_at":"2026-11-13T16:56:49.961684Z","created_at":"2026-10-14T15:20:34.974801Z","updated_at":"2026-10-14T16:56:49.964715Z","company_name":"Horizon3 AI","company_slug":"horizon3-ai","company_logo_url":"https://www.google.com/s2/favicons?domain=horizon3.ai\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/972adbf0-5b20-4db8-9e6c-f42932f2c665"},{"id":"1d5ba28a-37f9-4138-9c77-647324c5d234","company_id":"b6e5a3d1-9bde-4a82-8d78-9f38ed99ee81","title":"Research Manager - Post-Training for Agents","slug":"research-manager-post-training-for-agents-5de82862","description":"As a Research Manager within Datadog AI Research (DAIR), you will lead a team working on fundamental research in post-training and autonomous agents while remaining deeply engaged in the technical direction of the work. You will advance reinforcement learning, simulated environments, synthetic data generation, and evaluation methods for agents operating across complex real-world systems. You will provide technical leadership to a team of researchers and research engineers, mentor and develop highly technical talent, shape research direction, and collaborate with Datadog’s product and engineering teams to translate research advances into products. This role is designed for an exceptional researcher or technical leader who wants to maintain a strong hands-on research identity while developing and leading a high-performing team.  \n At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.  \n What You'll Do:  \n \n Lead research in agent post-training and reinforcement learning, setting the technical direction for ambitious research programs grounded in observability and security\n Guide and mentor researchers and research engineers while remaining closely involved in research strategy, experimentation, model development, and technical problem-solving \n Design and advance reinforcement learning approaches, post-training methods, and training loops for agents operating in complex environments \n Build simulated environments, synthetic data generation approaches, and evaluation frameworks that enable scalable agent training and rigorous measurement\n Collaborate with cross-functional teams across Research, Product, and Engineering to translate advances in autonomous agents into scalable Datadog capabilities\n Contribute to research publications, present at top-tier conferences such as NeurIPS, ICLR, and ICML, and help open-source key model artifacts and benchmarks \n \n Who You Are:  \n \n You hold a PhD in Computer Science, Machine Learning, or a related field, or have equivalent experience, with deep expertise in areas such as reinforcement learning, AI agents, post-training, or generative modeling \n You have demonstrated the ability to lead technically ambitious research at meaningful scale, whether in an industry research lab, startup, academic environment, or another research setting \n You have extensive hands-on experience designing or implementing reinforcement learning systems, agent training methods, simulated environments, synthetic data pipelines, or evaluation frameworks\n You have a track record of research impact through influential publications, significant model or system contributions, widely used research artifacts, or equivalent technical achievements \n You have operated at a senior technical level and have experience leading, mentoring, and developing teams of researchers or engineers, while remaining deeply hands-on in technical direction and execution \n You want to develop and support a research team while maintaining a strong technical identity, and you can communicate complex research findings effectively across technical and non-technical audiences \n \n Datadog values people from all walks of life. We know not everyone will meet all the above qualifications on day one. That’s okay. If you’re passionate about technology and want to grow your experience, we encourage you to apply.  \n Benefits and Growth:  \n \n Competitive global benefits \n New hire stock equity (RSUs) and employee stock purchase plan (ESPP)\n Opportunity to collaborate closely with colleagues across the Datadog offices in New York City and Paris \n Opportunity to attend and present at conferences and meetups \n Intra-departmental mentor and buddy program for in-house networking\n An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups)  \n \n Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog. \n #LI-Hybrid\n Datadog offers a competitive salary and equity package, and may include variable compensation. Actual compensation is based on factors such as the candidate's skills, qualifications, and experience. In addition, Datadog offers a wide range of best in class, comprehensive and inclusive employee benefits for this role including healthcare, dental, parental planning, and mental health benefits, a 401(k) plan and match, paid time off, fitness reimbursements, and a discounted employee stock purchase plan.\n The reasonably estimated yearly salary for this role at Datadog is:\n $244,000 — $305,000 USD \n \n About Datadog:  \n Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applic","salary_min":244000,"salary_max":305000,"location":"New York, NY","workplace":"hybrid","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["reinforcement-learning","search","agents","healthcare","data-pipeline","research"],"apply_url":"https://careers.datadoghq.com/detail/8279173/?gh_jid=8279173","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-10-13T17:57:23Z","expires_at":"2026-11-13T16:55:38.246957Z","created_at":"2026-10-14T15:19:28.467785Z","updated_at":"2026-10-14T16:55:38.249824Z","company_name":"Datadog","company_slug":"datadog","company_logo_url":"https://www.google.com/s2/favicons?domain=datadoghq.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/1d5ba28a-37f9-4138-9c77-647324c5d234"},{"id":"fcb2f68d-9ea2-439d-9d09-29431b4bdeec","company_id":"6ce2d21e-b00f-4343-9bd0-5ac62ff81431","title":"Machine Learning Engineer - Gen SWE","slug":"machine-learning-engineer-gen-swe-049769f2","description":"Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.\n This role follows a hybrid work schedule and reports to a Software Tech Lead Manager.\n You will: \n \n \n Own and drive the roadmap for ML-powered pickup and dropoff features, from problem definition through launch, in partnership with PM, UX, data science, and other commercialization engineering teams\n \n Train, evaluate, and deploy ML models for occupancy detection, rider-vehicle interactions, pullover selection, and lost and found\n \n Design fallback systems that cascade between onboard and offboard models based on latency, confidence, and connectivity\n \n Build distributed systems that span vehicles, cloud services, and rider apps, and that handle intermittent and inconsistent connectivity well\n \n Work across the stack (data pipelines, model serving, backend services, and client integration) to ship end-to-end, user-facing features\n \n Define success metrics and use offline evaluation, simulation, and live experiments to measure impact on service quality and rider experience\n \n You have: \n \n \n BS degree in Computer Science or equivalent practical experience\n \n 5+ years of software engineering experience, including building and deploying ML models into production\n \n Experience building backend distributed systems\n \n We prefer: \n \n \n Experience with C++\n \n MS in Computer Science, or equivalent practical experience\n \n Experience in developing machine learning models, infrastructure, and pipelines\n \n Experience deploying models on-device or on edge hardware with compute and latency constraints\n \n Track record of owning ambiguous, user-facing problems end-to-end and setting your own technical direction\n \n Experience in autonomous vehicles or robotics\n \n Disclosure for WA Based \u0026 Remote Roles: \n In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include:\n Health, dental, vision, life, disability insuranceRetirement Benefits: 401(k) with company matchPaid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employmentSick Time: 40 hours/year (statutory, where applicable); 5 days/event (discretionary) Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks Baby Bonding Leave: 18 weeks Holidays: 13 paid days per year\n US Remote Only: Please note that Waymo may not be able to employ remotely in all US locations. Please speak with your recruiter about your preferred location for remote work when you begin the interview process.\n  \n The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.  \n Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.  \n Salary Range\n $213,000 — $263,000 USD","salary_min":213000,"salary_max":263000,"location":"Mountain View, CA","workplace":"hybrid","remote_scope":"not_remote","job_type":"full-time","experience_level":"lead","tags":["mlops","distributed-systems","data-pipeline","autonomous-vehicles","robotics","machine-learning"],"apply_url":"https://careers.withwaymo.com/jobs?gh_jid=8212440","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-10-13T13:20:32Z","expires_at":"2026-11-13T16:55:54.938681Z","created_at":"2026-10-14T15:20:04.385328Z","updated_at":"2026-10-14T16:55:54.941384Z","company_name":"Waymo","company_slug":"waymo","company_logo_url":"https://www.google.com/s2/favicons?domain=waymo.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/fcb2f68d-9ea2-439d-9d09-29431b4bdeec"},{"id":"a403cbfc-5ab6-4009-833a-3a9a90e4f43c","company_id":"a0000000-0000-0000-0000-000000000001","title":"Data Engineer, Billing \u0026 Payments","slug":"data-engineer-billing-payments-d1c26c11","description":"About Anthropic \n Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.\n About the role As a Data Engineer supporting Billing \u0026 Payments Engineering, you'll join the Finance Data Engineering team and build the foundation for accurate, scalable billing and revenue data across Anthropic. You'll work closely with Billing Engineering, Finance and Accounting, as well as Product and other partners, to turn billing and payments data into reliable metrics, reporting and insights. You'll make sure teams have trustworthy data that scales with our growth, and you'll lead your own projects to enable self-serve insights that help teams make data-driven decisions.\n Responsibilities: • Partner with Billing Engineering, Finance and Accounting to understand their data and reporting needs, and translate them into technical requirements • Design, build and maintain data models and pipelines in dbt that transform raw billing, usage and payments data into canonical datasets • Own revenue data accuracy and reconciliation, making sure billing, usage and revenue data tie out across systems • Define success metrics for billing systems, and build the data models and monitoring to track them • Set high data integrity standards and SLAs for timely, accurate delivery of billing and revenue data • Share on-call and data operations responsibilities for Finance Data Engineering pipelines • Build dashboards and self-serve data products that track core metrics and deliver insights across the company • Champion best practices for dbt, data modeling and SQL • Influence the Billing Engineering roadmap from a data systems perspective • Become an expert in our data models and data architecture\n You may be a good fit if you have: • 5+ years of experience as a Data Engineer, Analytics Engineer or in a similar role • Expertise in SQL and Python, and in building multi-step data pipelines with tools like dbt • Experience with workflow orchestration tools like Airflow, and version control with GitHub • Familiarity with billing concepts such as invoicing, payments, credits, refunds and subscriptions, and experience working with data from billing systems • Experience building dashboards and reporting in tools like Hex for multiple cross-functional teams • A bias for action and urgency, without letting perfect be the enemy of the effective • A full-stack mindset: you do what it takes to solve a problem end to end, even when it goes beyond the original scope • Comfort with ambiguity, and the initiative to create clarity and keep work moving • A passion for Anthropic's mission of building helpful, honest and harmless AI\n Strong candidates may also have: • Experience partnering with billing, finance or accounting teams on revenue metrics and reconciliation • Experience building an analytics or data engineering function from an early stage\n The annual compensation range for this role is listed below. \n For sales roles, the range provided is the role’s On Target Earnings (\"OTE\") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.\n Annual Salary:\n $320,000 — $405,000 USD \n Logistics \n Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience\n Required field of study:  A field relevant to the role as demonstrated through coursework, training, or professional experience\n Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position\n Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.\n Visa sponsorship:  We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.\n We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. T","salary_min":320000,"salary_max":405000,"location":"San Francisco, CA","workplace":"hybrid","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["payments","data-pipeline","alignment","data-engineering","data-science"],"apply_url":"https://job-boards.greenhouse.io/anthropic/jobs/5450099008","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-10-12T19:03:03Z","expires_at":"2026-11-13T16:54:55.362957Z","created_at":"2026-10-14T15:17:21.640971Z","updated_at":"2026-10-14T16:54:55.365861Z","company_name":"Anthropic","company_slug":"anthropic","company_logo_url":"https://www.google.com/s2/favicons?domain=anthropic.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/a403cbfc-5ab6-4009-833a-3a9a90e4f43c"},{"id":"0e915c96-e091-4d28-9652-01f3efa478ae","company_id":"f5ee7284-a657-4da2-b351-cb806a3681cd","title":"Infrastructure Security Engineer (Bare Metal \u0026 Platform)","slug":"infrastructure-security-engineer-bare-metal-platform-65c20bb1","description":"SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today, SpaceX is actively developing the technologies to make this possible, with the ultimate goal of making life multiplanetary and expanding consciousness to the stars. SpaceXSI is building Super Intelligence to help humanity understand the universe. Our teams are building the full Super Intelligence stack: from our Colossus supercomputers, to Grok models, to our suite of applications, including Grok Bot, Grok Build, Grok Imagine, Grok Voice, and X. We're creating a powerful flywheel where more compute trains better models, better models power more useful products, and what we learn from people using those products shapes what we build next.\n ABOUT THE ROLE: \n We are seeking a hands-on Infrastructure Security Engineer to build and secure SpaceXSI's infrastructure from the bare-metal layer up through the platform and application stack. In this role, you will design, implement, and harden physical and private-cloud foundations—servers, networks, identity, and orchestration—and carry that security posture into containers, automation, and hybrid connectivity with public cloud.\n This role focuses on securing critical infrastructure spanning data centers, colo, and hybrid environments, with work that may span platforms such as SpaceXSI, X Social, X Money, and related systems. You’ll operate with an automation-first mindset: building secure foundations at the metal and OS layer, hardening platforms at scale, and partnering closely with engineering so security is embedded in how we build and run systems—not bolted on after the fact.\n RESPONSIBILITIES: \n Bare metal, data center \u0026 network security\n \n Design and implement secure bare-metal and private-cloud architectures (servers, storage, out-of-band management, BIOS/UEFI/BMC firmware posture)\n Harden physical and virtual fleets: OS baselines (Linux/Windows), CIS benchmarks, patch and vulnerability management, and secure boot / measured boot where applicable\n Hands-on firmware, BMC/iDRAC/iLO, PXE/Kickstart provisioning, and hardware lifecycle security\n Build and secure network foundations: segmentation, load balancers, DNS, PKI, NAC, and IDS/IPS on real hardware\n Own hybrid connectivity between on-premises and cloud (site-to-site VPN, Direct Connect / Interconnect / ExpressRoute, SD-WAN, zero-trust access)\n Manage identities and privileged access across Active Directory / LDAP / Kerberos and cloud IAM (federation, SAML/OIDC, PAM)\n Assist with security assessments and audits of physical, on-premises, and hybrid infrastructure\n Monitor and remediate infrastructure to comply with regulations and best practices (e.g., PCI, NIST CSF, GDPR, HIPAA)\n \n Platform, containers \u0026 developer enablement\n \n Design and implement secure container and Kubernetes standards on bare metal and private cloud (not only managed EKS/GKE/AKS), including RBAC, network policy, and secrets\n Develop and maintain Infrastructure as Code and configuration management—especially Puppet—with embedded security controls for physical and virtual fleets\n Collaborate with development teams so security best practices are integrated into CI/CD pipelines\n Secure and enhance CI/CD pipelines; integrate and maintain code and image scanning platforms\n \n Detection, operations \u0026 tooling\n \n Monitor and respond to security events and incidents spanning bare metal, network devices, hosts, and hybrid cloud\n Maintain SIEM data pipelines that ingest on-premises network, host, and cloud telemetry for reliable alerting\n Build, deploy, and maintain security operations infrastructure using Python, Terraform, and Puppet\n Develop dashboards and alerts from security metrics across physical and platform layers\n Develop and maintain infrastructure security policies, standards, and procedures from metal through platform\n Own security projects end to end: identify issues and implement solutions\n Stay current with emerging threats and mitigations for bare-metal, firmware, network, and hybrid-cloud infrastructure\n \n BASIC QUALIFICATIONS: \n \n Bachelor's degree in Computer Science, Cybersecurity, or a related field\n 3–5 years of experience in infrastructure security, platform security, or related hands-on roles\n Proven experience securing bare-metal, data-center, or private-cloud environments (not cloud-only resumes)\n Hands-on experience with firmware, BMC/iDRAC/iLO, PXE/Kickstart provisioning, and hardware lifecycle security\n Strong proficiency with Puppet for configuration management and fleet hardening in production\n Strong understanding of network security concepts and protocols, including hands-on work with firewalls, segmentation, and hybrid connectivity\n Experience with hybrid identity (AD/LDAP or similar) integrated or federated with cloud IAM\n Experience with Infrastructure as Code (e.g., Terraform) applied to physical or VM fleets\n Familiarity with containerization ","salary_min":100000,"salary_max":258000,"location":"Palo Alto, CA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"mid","tags":["payments","cloud","data-pipeline","security","infrastructure"],"apply_url":"https://job-boards.greenhouse.io/xai/jobs/5262880007","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-10-10T01:45:54Z","expires_at":"2026-11-13T16:55:31.592515Z","created_at":"2026-10-14T15:19:21.532282Z","updated_at":"2026-10-14T16:55:31.595612Z","company_name":"xAI","company_slug":"xai","company_logo_url":"https://www.google.com/s2/favicons?domain=x.ai\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/0e915c96-e091-4d28-9652-01f3efa478ae"},{"id":"a5933db7-95b3-4868-a949-7067b206453d","company_id":"332b7698-676b-4a3e-8b02-81b1195c5af6","title":"Sr. Automation Engineer - IT Asset Management","slug":"sr-automation-engineer-it-asset-management-9e6ebd4d","description":"Sr. Automation Engineer - IT Asset Management \n Req ID: GAQ427R222 \n About the Role \n As a Senior Automation Engineer on the IT Asset Management team at Databricks, you will be the technical engine behind transforming how we manage ~$XXM/yr in asset spend across SaaS licenses and hardware. Your primary mission is to eliminate manual toil and build scalable, AI-powered automation that makes asset operations fast, accurate, and effortless as Databricks scales past 14,000 employees.\n Your initial focus will be on IT asset management workflows: automating new hire laptop provisioning, SaaS license lifecycle management, asset data reconciliation, and hardware recovery. Over time, you will expand your automation footprint across IT Support and Operations, including IT support workflows, AV/VC and event support, and incident response management.\n This role requires a strong automation-first mindset, the ability to learn new domains quickly, and comfort building with AI/LLM tools. You will report to the Senior Manager of IT Asset Management.\n The Impact You Will Have \n \n New hire laptop provisioning: Build end-to-end automation for assigning, configuring, and shipping laptops to new hires, targeting a 75% reduction in manual ticket toil.\n SaaS license lifecycle: Automate license consumption monitoring, inactivity-based seat clawbacks, renewal alerting, and cost optimization workflows to help drive $1.5M+ in annual savings and cost avoidance.\n Asset data quality: Automate CMDB/inventory reconciliation, deduplication, and multi-device detection to bring asset records to audit-ready accuracy.\n Offboarding asset recovery: Automate tracking and recovery of hardware from exiting employees, reducing loss and improving chain-of-custody compliance.\n Broader IT Ops automation (over time): Extend automation into IT support, AV/VC and event support, and incident response management as the ITAM automation foundation matures.\n \n What We Are Looking For \n Core Qualifications \n \n 5+ years of experience in IT systems engineering, automation engineering, or a related technical role.\n Proven track record of delivering complex, multi-system automation projects with measurable business impact.\n Strong automation-first mindset: you see a manual process and immediately think about how to build a scalable, reliable automated solution.\n Ability to operate with minimal guidance, take ownership of ambiguous problems, and deliver consistently high-quality work in a fast-paced environment.\n We value a great generalist who can learn a domain quickly over a narrow specialist. You should be comfortable ramping into unfamiliar systems and business processes and building effective automation without needing deep prior domain expertise.\n \n AI and LLM Automation \n \n Hands-on experience building workflows, agents, or tools powered by large language models (e.g., Claude, GPT, Gemini, or similar).\n Ability to design AI-powered automation that handles unstructured inputs, makes decisions, and integrates with enterprise systems.\n Experience with prompt engineering, agent frameworks, or AI-assisted code generation in a production or operational context.\n Comfort evaluating and selecting the right AI approach for a given problem, whether that is a deterministic rule, an LLM call, or a hybrid.\n \n Automation and Integration \n \n Experience building and troubleshooting integrations between IT platforms such as ITSM tools (FreshService, ServiceNow, or similar), identity platforms, and asset management systems.\n Experience designing automation for IT operational processes: onboarding/offboarding, access provisioning, license management, asset tracking, or similar.\n Familiarity with REST APIs, scripting (Python, Bash, or similar), and the ability to connect systems that were not designed to talk to each other.\n Experience with data pipelines, ETL, or data quality workflows is a plus.\n \n Collaboration and Communication \n \n Strong cross-functional collaboration skills. Comfortable working with IT operations, security, procurement, finance, and vendor partners.\n Effective at documenting solutions and training peers on new tools and processes.\n Clear communicator who can translate complex technical work into business terms for non-technical stakeholders.\n \n Nice to Have \n \n Experience with Databricks, data lakehouse architectures, or SQL-based analytics platforms.\n Experience with IT asset management or SaaS management tools (e.g., Oomnitza, Productiv, Zluri, or similar).\n Experience with no-code/low-code automation platforms (e.g., Tines, Workato, or similar).\n Familiarity with ITIL processes or IT service management frameworks.\n \n Location \n US-based, West Coast preferred.\n  \n Pay Range Transparency \n Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.  Actual compensation packages ar","salary_min":121800,"salary_max":167550,"location":"Bellevue, WA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["agents","code-generation","data-pipeline","llm","api-design","infrastructure"],"apply_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8829047002","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-10-09T18:09:43Z","expires_at":"2026-11-13T16:55:16.60437Z","created_at":"2026-10-14T15:19:06.003672Z","updated_at":"2026-10-14T16:55:16.607166Z","company_name":"Databricks","company_slug":"databricks","company_logo_url":"https://www.google.com/s2/favicons?domain=databricks.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/a5933db7-95b3-4868-a949-7067b206453d"},{"id":"55139ac1-2db5-471c-b6aa-dbc4dc6745af","company_id":"a0000000-0000-0000-0000-000000000001","title":"Data Engineer, Product","slug":"data-engineer-product-96da0802","description":"About Anthropic \n Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.\n About the role As a Data Engineer on the Data Science \u0026 Analytics team, you'll build the foundation that lets analytics scale across Anthropic. You'll partner with Engineering, Product and other teams to turn raw data into reliable metrics, reporting and insights, and you'll make sure teams have accurate metrics for our consumer products from idea to launch. You'll also lead your own projects that make self-serve insights possible, so teams can make data-driven decisions.\n Responsibilities \n \n \n Understand, and where possible anticipate, the data needs of partner teams, and translate them into data models, reporting and technical requirements\n \n Define, build and manage key dbt pipelines that turn raw logs into canonical datasets\n \n Set data integrity standards and SLAs so data is delivered on time and accurately\n \n Build reliable dashboards that track core metrics and share insights across the company\n \n Build foundational data products, dashboards and tools that let self-serve analytics scale\n \n Partner with stakeholders to define and materialize metrics and analysis for new and evolving consumer products\n \n Shape Product teams' roadmaps from a data systems perspective\n \n Become an expert in our data models and data architecture\n \n You may be a good fit if you have \n \n \n Significant experience as a Data Engineer or in a similar Data Science \u0026 Analytics role, ideally partnering with Product leads to build and report on company-wide metrics\n \n A passion for Anthropic's mission of building helpful, honest and harmless AI\n \n Expertise building multi-step ETL jobs with tools like dbt, plus experience with workflow tools like Airflow and version control through GitHub\n \n Expertise in SQL and Python for turning data into accurate, clean data models\n \n Experience building reporting and dashboards in tools like Hex that serve multiple cross-functional teams\n \n A bias for action, and a sense of when \"good enough\" beats perfect\n \n An end-to-end mindset: you take ownership of solving a problem fully, even when that means picking up work beyond your usual scope\n \n Comfort with ambiguity, and a habit of creating clarity and forward progress\n \n Experience using AI to scale your own productivity and your team's without lowering the quality of the work\n \n Strong candidates may also have \n \n \n Experience building a data engineering (or similar) function from the ground up in an early-stage or fast-growing environment\n The annual compensation range for this role is listed below. \n For sales roles, the range provided is the role’s On Target Earnings (\"OTE\") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.\n Annual Salary:\n $320,000 — $405,000 USD \n Logistics \n Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience\n Required field of study:  A field relevant to the role as demonstrated through coursework, training, or professional experience\n Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position\n Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.\n Visa sponsorship:  We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.\n We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, ","salary_min":320000,"salary_max":405000,"location":"San Francisco, CA","workplace":"hybrid","remote_scope":"not_remote","job_type":"full-time","experience_level":"lead","tags":["data-pipeline","alignment","data-science","data-engineering"],"apply_url":"https://job-boards.greenhouse.io/anthropic/jobs/5448481008","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-10-09T17:00:40Z","expires_at":"2026-11-13T16:54:55.368278Z","created_at":"2026-10-14T15:17:21.646192Z","updated_at":"2026-10-14T16:54:55.371153Z","company_name":"Anthropic","company_slug":"anthropic","company_logo_url":"https://www.google.com/s2/favicons?domain=anthropic.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/55139ac1-2db5-471c-b6aa-dbc4dc6745af"},{"id":"103173eb-39e0-49ad-90d3-4aced5c995f3","company_id":"01048ffd-9864-41e0-a719-14b849fbcbcd","title":"Sr. Software Engineer (AI Data Engineering)","slug":"sr-software-engineer-ai-data-engineering-29df1a0b","description":"SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today SpaceX is actively developing the technologies to make this possible, with the ultimate goal of enabling human life on Mars.\n SR. SOFTWARE ENGINEER (AI DATA ENGINEERING) \n Be a member of the Artificial Intelligence Data Engineering Software team, building AI-powered tools and automation that solve real engineering problems for our launch vehicles and spacecraft.\n Our team builds software that takes recurring, time-consuming work off engineers' plates so they can focus on hard engineering, from automated review of flight and test data to AI agents that help engineers prepare for missions and investigate anomalies. Your work will directly accelerate rapid reuse of the Falcon launch vehicle, support the world's largest satellite communication and AI constellations, and contribute to the development of the world's largest rocket capable of sending humans to Mars.\n You will work side-by-side with engineers across avionics, propulsion, structures, and more to find where their time goes and build tools that give it back, using agentic AI systems, MCP servers, RAG-based search, data pipelines over large telemetry datasets, and traditional automation where it is the right answer. You will own problems end-to-end: scoping the solution with the engineers who have the problem, rolling it out, measuring the time it saves, and maintaining it as the vehicle and processes evolve.\n Aerospace experience is not strictly required - we are looking for smart, motivated, collaborative engineers who love solving problems and want to make an impact on an inspiring mission.\n RESPONSIBILITIES: \n \n Partner directly with engineering teams to identify their most time-consuming, repetitive, or error-prone work, then design and build tools that automate it\n Build automation that processes large volumes of engineering data, including telemetry, hardware design databases, configuration files, and manufacturing and test records, to automate data review, flag anomalies, and surface insights\n Design agentic AI systems, multi-agent workflows, and MCP servers that let engineers query, analyze, and act on data across many internal systems\n Integrate tools into CI/CD pipelines, mission workflows, and review/sign-off processes so automation runs where engineers already work\n Build internal web dashboards that give engineers a clear view of mission status, open work, and data review results\n Rapidly prototype and iterate, then take tools to a production-grade, maintainable state\n Thoroughly test and validate all tools, including evaluating AI outputs against known-good results, so engineers can trust them in a flight-critical environment\n Prioritize work by return on investment and track the engineering hours saved\n \n BASIC QUALIFICATIONS: \n \n Bachelor's degree in computer science, data science, engineering, math, or physics; OR 4+ years of professional experience building automation for practical engineering use cases in lieu of a degree\n 5+ years of experience in software engineering with a focus on automation tools and/or AI integrations (professional and personal projects are applicable)\n 5+ years of programming experience in Python\n \n PREFERRED SKILLS AND EXPERIENCE: \n \n Track record of building tools that engineers or other end users actually adopted, including gathering requirements directly from users and iterating on their feedback\n Comfort processing and analyzing large engineering or scientific datasets (time-series telemetry, sensor data, logs, etc.) using tools such as pandas and NumPy\n Built code or configuration generators that turn a source of truth (design databases, spreadsheets, schemas) into validated outputs\n Hands-on work building complex agentic AI systems and multi-agent workflows, including prompt and context engineering, tool/function calling, and MCP servers or agent skills\n Ability to design evaluations for LLM-based tools, and the judgment to know when a deterministic script is a better fit than an AI model\n Skilled at integrating with many systems through REST APIs, and quickly learning unfamiliar internal tools and data sources\n Working knowledge of relational (PostgreSQL), non-relational, and vector databases, with strong SQL skills\n Full-stack experience building web applications or dashboards (e.g., React/TypeScript frontends with Python backends such as FastAPI or Flask)\n Proficiency developing on Linux, with a solid understanding of Git, testing, CI/CD, and monitoring\n Familiarity deploying containerized applications using Docker and Kubernetes\n Familiarity with hardware engineering concepts (electrical schematics and wiring, sensors, propulsion, controls, or test and manufacturing processes), or a background as a hardware or test engineer who moved into software\n Strong communication skills and ability to explain technical tradeoffs to engineers in other disc","salary_min":165000,"salary_max":265000,"location":"Hawthorne, CA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["llm","api-design","agents","embeddings","data-pipeline","data-engineering"],"apply_url":"https://boards.greenhouse.io/spacex/jobs/8880858002?gh_jid=8880858002","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-10-09T00:39:29Z","expires_at":"2026-11-13T17:02:51.84726Z","created_at":"2026-10-14T15:24:54.877845Z","updated_at":"2026-10-14T17:02:51.850729Z","company_name":"SpaceX","company_slug":"spacex","company_logo_url":"https://www.google.com/s2/favicons?domain=spacex.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/103173eb-39e0-49ad-90d3-4aced5c995f3"},{"id":"a8096508-4339-4acb-af22-bfdb3dfc7cd2","company_id":"01048ffd-9864-41e0-a719-14b849fbcbcd","title":"Software Engineer (AI Data Engineering)","slug":"software-engineer-ai-data-engineering-93f6b849","description":"SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today SpaceX is actively developing the technologies to make this possible, with the ultimate goal of enabling human life on Mars.\n SOFTWARE ENGINEER (AI DATA ENGINEERING) \n Be a member of the Artificial Intelligence Data Engineering Software team, building AI-powered tools and automation that solve real engineering problems for our launch vehicles and spacecraft.\n Our team builds software that takes recurring, time-consuming work off engineers' plates so they can focus on hard engineering, from automated review of flight and test data to AI agents that help engineers prepare for missions and investigate anomalies. Your work will directly accelerate rapid reuse of the Falcon launch vehicle, support the world's largest satellite communication and AI constellations, and contribute to the development of the world's largest rocket capable of sending humans to Mars.\n You will work side-by-side with engineers across avionics, propulsion, structures, and more to find where their time goes and build tools that give it back, using agentic AI systems, MCP servers, RAG-based search, data pipelines over large telemetry datasets, and traditional automation where it is the right answer. You will own problems end-to-end: scoping the solution with the engineers who have the problem, rolling it out, measuring the time it saves, and maintaining it as the vehicle and processes evolve.\n Aerospace experience is not strictly required - we are looking for smart, motivated, collaborative engineers who love solving problems and want to make an impact on an inspiring mission.\n RESPONSIBILITIES: \n \n Partner directly with engineering teams to identify their most time-consuming, repetitive, or error-prone work, then design and build tools that automate it\n Build automation that processes large volumes of engineering data, including telemetry, hardware design databases, configuration files, and manufacturing and test records, to automate data review, flag anomalies, and surface insights\n Design agentic AI systems, multi-agent workflows, and MCP servers that let engineers query, analyze, and act on data across many internal systems\n Integrate tools into CI/CD pipelines, mission workflows, and review/sign-off processes so automation runs where engineers already work\n Build internal web dashboards that give engineers a clear view of mission status, open work, and data review results\n Rapidly prototype and iterate, then take tools to a production-grade, maintainable state\n Thoroughly test and validate all tools, including evaluating AI outputs against known-good results, so engineers can trust them in a flight-critical environment\n Prioritize work by return on investment and track the engineering hours saved\n \n BASIC QUALIFICATIONS: \n \n Bachelor's degree in computer science, data science, engineering, math, or physics; OR 4+ years of professional experience building automation for practical engineering use cases in lieu of a degree\n 1+ years of experience in software engineering with a focus on automation tools and/or AI integrations (professional and personal projects are applicable)\n 1+ years of programming experience in Python\n \n PREFERRED SKILLS AND EXPERIENCE: \n \n Track record of building tools that engineers or other end users actually adopted, including gathering requirements directly from users and iterating on their feedback\n Comfort processing and analyzing large engineering or scientific datasets (time-series telemetry, sensor data, logs, etc.) using tools such as pandas and NumPy\n Built code or configuration generators that turn a source of truth (design databases, spreadsheets, schemas) into validated outputs\n Hands-on work building complex agentic AI systems and multi-agent workflows, including prompt and context engineering, tool/function calling, and MCP servers or agent skills\n Ability to design evaluations for LLM-based tools, and the judgment to know when a deterministic script is a better fit than an AI model\n Skilled at integrating with many systems through REST APIs, and quickly learning unfamiliar internal tools and data sources\n Working knowledge of relational (PostgreSQL), non-relational, and vector databases, with strong SQL skills\n Full-stack experience building web applications or dashboards (e.g., React/TypeScript frontends with Python backends such as FastAPI or Flask)\n Proficiency developing on Linux, with a solid understanding of Git, testing, CI/CD, and monitoring\n Familiarity deploying containerized applications using Docker and Kubernetes\n Familiarity with hardware engineering concepts (electrical schematics and wiring, sensors, propulsion, controls, or test and manufacturing processes), or a background as a hardware or test engineer who moved into software\n Strong communication skills and ability to explain technical tradeoffs to engineers in other discipli","salary_min":145000,"salary_max":195000,"location":"Hawthorne, CA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"mid","tags":["data-pipeline","llm","api-design","embeddings","agents","data-engineering"],"apply_url":"https://boards.greenhouse.io/spacex/jobs/8880868002?gh_jid=8880868002","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-10-09T00:39:23Z","expires_at":"2026-11-13T17:02:51.635632Z","created_at":"2026-10-14T15:24:54.677511Z","updated_at":"2026-10-14T17:02:51.639609Z","company_name":"SpaceX","company_slug":"spacex","company_logo_url":"https://www.google.com/s2/favicons?domain=spacex.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/a8096508-4339-4acb-af22-bfdb3dfc7cd2"},{"id":"4708c050-c2b9-43f4-863a-aabad3dc6845","company_id":"92df3417-f362-4f1a-9406-e34d8013b283","title":"Senior Data Engineer, Product","slug":"senior-data-engineer-product-1e370dcb","description":"It all started with an idea at Block in 2013. Initially built to take the pain out of peer-to-peer payments, Cash App has gone from a simple product with a single purpose to a dynamic ecosystem, developing unique financial products, including Afterpay/Clearpay, to provide a better way to send, spend, invest, borrow and save to our 50+ million monthly active customers. We want to redefine the world’s relationship with money to make it more relatable, instantly available, and universally accessible. Today, Cash App has thousands of employees working globally across office and remote locations, with a culture geared toward innovation, collaboration and impact. We’ve been a distributed team since day one, and many of our roles can be done remotely from the countries where Cash App operates. No matter the location, we tailor our experience to ensure our employees are creative, productive, and happy.\n The Role \n As a Data Engineer, you will handle everything from data architecture and modeling to data pipeline tooling and dashboarding. You will enable a range of other engineering and business teams to make impactful business decisions by laying the foundation of our large and unique datasets that span across multiple products. This role will support the product data engineering team.\n The Product Data Engineering Team at Block builds and maintains the curated data foundation that powers all of Block's product lines — Cash App, Square, Afterpay, and Tidal. We transform raw event streams, transactional systems, and operational data into governed, tested, and reliable analytical assets across domains including banking, lending, commerce, investing, checkout, and AI assistants. We partner with Product, Engineering, Data Science, Machine Learning, and Applied AI teams to deliver the metrics, experimentation frameworks, and ML-ready datasets that enable Block's products to grow, improve, and serve customers at scale.\n  \n You Will \n \n Lead the creation and optimization of data models across eventing, customer-level, and process-level data, leveraging AI-assisted development tools to accelerate delivery.\n Take shared or independent technical ownership of critical data pipelines across Block — including foundational customer datasets, money transfer and movement pipelines, and the data infrastructure powering Block's experimentation platform.\n Build monitoring to assess data quality and lineage and further, build AI agents for false positive reduction and automated resolution. \n Participate in on-call rotation, monitor daily execution, diagnose and log issues, and fix business critical pipelines to ensure SLAs are met with internal stakeholders. Automate this process through AI agents to focus human effort on highest priority tasks.\n Work with non-technical partners and product teams to understand their needs, translate business requirements into applicable data requirements, and develop automated end-to-end solutions.\n \n  \n You Have \n \n A minimum of 10 years of related experience with a Bachelor’s degree; or 8 years and a Master’s degree; or equivalent experience.\n High proficiency in SQL, Python, and Dbt\n Experience designing medium-to-large data engineering solutions and responsible for the entire lifecycle of projects including scoping, design, development, testing, deployment, and documentation\n Experience with ETL scheduling technologies with dependency checking, such as Airflow or Prefect, as well as \n Experience in schema design and dimensional data modeling\n Experience with setting up data quality and data lineage monitoring\n Experience with data driven decisions through AI and agentic automation\n \n  \n Technologies We Use and Teach \n \n Snowflake\n Databricks\n Dbt\n Github\n Airflow\n Prefect\n Omni\n Terraform\n \n  \n We’re working to build a more inclusive economy where our customers have equal access to opportunity, and we strive to live by these same values in building our workplace. Block is an equal opportunity employer evaluating all employees and job applicants without regard to identity or any legally protected class. We will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances. We believe in being fair, and are committed to an inclusive interview experience, including providing reasonable accommodations to disabled applicants throughout the recruitment process. We encourage applicants to share any needed accommodations with their recruiter, who will treat these requests as confidentially as possible. Want to learn more about what we’re doing to build a workplace that is fair and square? Check out our I+D page .\n While there is no specific deadline to apply for this role, U.S. roles are typically open for an average of 55 days before being filled by a successful candidate. Please refer to the date listed at the top of this job page for when this role was first posted.\n  \n Block takes a market-","salary_min":168300,"salary_max":252500,"location":"San Francisco, CA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["agents","payments","cloud","data-pipeline","data-science","data-engineering"],"apply_url":"http://block.xyz/careers/jobs/5442647008?gh_jid=5442647008","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-10-08T21:28:47Z","expires_at":"2026-11-13T16:58:11.230731Z","created_at":"2026-10-14T15:21:51.255254Z","updated_at":"2026-10-14T16:58:11.233468Z","company_name":"Block","company_slug":"block","company_logo_url":"https://www.google.com/s2/favicons?domain=block.xyz\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/4708c050-c2b9-43f4-863a-aabad3dc6845"},{"id":"4b7de9b4-85c4-42b1-8582-7bdd0696f7ea","company_id":"baca6349-80b0-417a-97a1-b31511860322","title":"Director, Security ","slug":"director-security-d098726e","description":"Runpod is the AI Developer Cloud. More than one million developers, from indie researchers to teams running frontier models in production, use Runpod to experiment, train, fine-tune, deploy, and scale AI on one platform. The platform has processed more than 20 billion inference requests. We closed a $100M Series A in June 2026. We're at an inflection point for AI infrastructure, and we're building the platform the next generation of developers will depend on.\n\n \n\nWe're a small, remote-first team. We take ownership seriously, move fast, and ship work that more than a million developers rely on every day. We're looking for people who care deeply, build with urgency, and want to matter at scale.\n\n \n\nLearn more in our CEO's funding announcement: https://www.runpod.io/blog/one-million-developers.\n\n\n\nWe’re looking for a Director of Security to lead and scale Runpod’s security organization. This role owns the end-to-end security posture of our cloud platform, infrastructure, and corporate environments. You will build the operating rhythm, culture, and technical direction that help Runpod scale securely, protecting customer AI workloads and ensuring trust as demand surges.\n\n\n\nYou will partner tightly with Engineering, Product, GTM, and Infrastructure leadership. Your focus is ensuring our customers experience Runpod as a secure, compliant, and resilient environment for training and running mission-critical AI inference workloads.\n\n\n\n\nRESPONSIBILITIES\n\n - Own Security Strategy \u0026 Execution: Lead the security organization across multiple domains, including Cloud Security, Application Security, SecOps, and GRC (Governance, Risk, and Compliance). Ensure predictable, high-quality execution of security initiatives.\n\n - Implement Frameworks \u0026 Compliance: Partner with GTM and Legal to shape strategy and achieve/maintain critical compliance certifications (e.g., SOC 2, ISO 27001, HIPAA). Translate regulatory requirements into clear technical scopes and measurable outcomes.\n\n - Build a High-Output Org: Hire, mentor, and grow security managers and senior ICs. Create a culture of ownership, speed, and craft in a remote-first environment.\n\n - Drive Secure Product Development: Embed security into the engineering lifecycle. Run secure software development processes (SSDLC), threat modeling, architecture reviews, and automated vulnerability scanning without bottlenecking release velocity.\n\n - Threat Detection \u0026 Incident Response: Drive measurable improvements in platform resilience. Establish robust monitoring, logging, and alerting systems, and lead the incident response program to minimize MTTD (Mean Time to Detect) and MTTR (Mean Time to Respond).\n\n - Customer Trust \u0026 Vendor Risk: Ensure our security posture translates directly to business value. Act as an executive sponsor for critical customer security conversations and manage third-party vendor risk assessments.\n\n - Security Automation \u0026 Tooling: Balance speed and security by heavily investing in automation. Shift security left by integrating testing and policy enforcement seamlessly into CI/CD pipelines and deployment workflows.\n\n - Architectural Stewardship Without Becoming a Bottleneck: Provide security oversight for infrastructure systems (GPU clusters, network perimeters, IAM, backend services), ensuring robust zero-trust principles and scalability.\n\n - Partner with Infrastructure Leadership: Coordinate dependencies cleanly with Infra/SRE teams to ensure secure infrastructure provisioning, network isolation, and high-availability operations.\n\n\n\n\nREQUIREMENTS\n\n - Security Leadership Experience: 7+ years leading security teams including managers and/or multiple squads, with a proven record of securing high-scale cloud platforms or infrastructure products.\n\n - Program Development Strength: Demonstrated ability to take complex security goals from concept through execution, balancing risk, scope, timelines, and business agility.\n\n - Cloud Security Expertise: 8+ years building and securing SaaS, platforms, or IaaS products. Deep technical understanding of modern cloud-native architectures, Kubernetes, Linux OS security, networking, and virtualization.\n\n - Remote-First Operating Excellence: Experience building culture, accountability, and momentum across distributed teams.\n\n - Process \u0026 Metrics Mindset: Strong use of operational security metrics (MTTD, MTTR, patch SLAs, defect escape rates), and experience improving overall organizational security hygiene.\n\n - Communication \u0026 Collaboration: Clear written and verbal communication, strong stakeholder management, and the ability to translate complex security risks into actionable business decisions.\n\n - Background Check: Successful completion of a background check.\n\n\n\n\nPREFERRED QUALIFICATIONS\n\n - Experience securing cloud infrastructure, developer platforms, distributed compute, or bare-metal environments used by technical customers.\n\n - Expertise with AI/ML specific security challenges, including model protection, tenant i","salary_min":125000,"salary_max":220000,"location":"Remote (US)","workplace":"remote","remote_scope":"restricted","job_type":"full-time","experience_level":"lead","tags":["security","data-pipeline","gpu","cloud"],"apply_url":"https://jobs.ashbyhq.com/runpod/aac0dc6b-31d5-48ab-bd95-f872a85e966e/application","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-10-08T17:46:39.115Z","expires_at":"2026-11-13T17:38:28.108503Z","created_at":"2026-10-14T17:38:28.111989Z","updated_at":"2026-10-14T17:38:28.111989Z","company_name":"RunPod","company_slug":"runpod","company_logo_url":"https://www.google.com/s2/favicons?domain=runpod.io\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/4b7de9b4-85c4-42b1-8582-7bdd0696f7ea"},{"id":"edfac032-5e92-46fd-a2e9-6a04b912c3b3","company_id":"3e1a646a-409e-4841-b498-fcdfeb9ebf3f","title":"Applied Scientist","slug":"applied-scientist-3dc62a5a","description":"About Us \n Twitch is the world’s biggest live streaming service, with global communities built around gaming, entertainment, music, sports, cooking, and more. It is where thousands of communities come together for whatever, every day.\n We’re about community, inside and out. You’ll find coworkers who are eager to team up, collaborate, and smash (or elegantly solve) problems together. We’re on a quest to empower live communities, so if this sounds good to you, see what we’re up to on LinkedIn  and  X ,  and discover the projects we’re solving on our  Blog . Be sure to explore our  Interviewing Guide  to learn how to ace our interview process.\n About the Role \n We are looking for an Applied Scientist to solve challenging and open-ended problems in the domain of Creators and content contextual signals. As an Applied Scientist on Twitch's GTM Science team, you will use applied machine learning to tackle ambiguous business problems across problem areas such as Ads, Brand Safety, Creator Sponsorship and Content Understanding. You will lead high profile projects where you will use a wide toolbox of ML tools to handle multiple types of data, including user behavior, metadata, and user generated content such as text and video. You will collaborate with a team of passionate scientists, engineers, and product stakeholders to develop these models, prototype and put them into production, where they can help Twitch's creators and viewers succeed and build communities.\n You will report to our Senior Data Science Manager for GTM. This position is located in San Francisco, CA.\n You Will: \n \n Build machine learning products to enrich Twitch’s content understanding and help creators and viewers build and discover their communities. \n Propose, design, and oversee execution for high-impact projects that work backwards from customer problems to develop the right solution for the job. Know when to use a classical ML model versus a state-of-the-art one.\n Collaborate with cross-functional engineering and product teams to prototype and deploy your models into flexible data pipelines and ML-based services.\n Bring innovation and help drive science culture on the team by staying up to date and experimenting with new techniques in LLM, computer vision, inference and model evaluation. \n \n You Have: \n \n A degree in a quantitative field (Computer Science, Mathematics, Statistics, Physics, Engineering, or similar) with:\n \n 5+ years of hands-on industry experience with applied ML (Bachelor's), OR\n 3+ years of applied ML experience (Master's), OR\n 1+ year of applied ML experience (PhD)\n \n Experience with LLM model evaluations.\n Experience owning projects that involve numerous scientists and engineers.\n Experience working with both technical and non-technical partners and stakeholders.\n Expertise with: Python and SQL, modern open source ML libraries (Pytorch, Tensorflow, etc.). Developing software in AWS or similar cloud-computing services.\n \n Bonus Points \n \n PhD with a specialization in Machine Learning.\n Experience with computer vision, LLM inference, content understanding. \n 1+ years of experience working in GTM / Content / Creator orgs (not necessarily as a scientist).\n Familiarity with Twitch, its business, and its community.\n \n Perks \n \n Medical, Dental, Vision \u0026 Disability Insurance\n 401(k)\n Maternity \u0026 Parental Leave\n Flexible PTO\n Amazon Employee Discount\n \n   \n Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.  \n Job ID: TW9302\n The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life \u0026 AD\u0026D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits .\n US, CA, San Francisco\n $171,600 — $222,200 USD \n Twitch is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. \n Twitch values your privacy. Please consult our Candidate Privacy Notice , for information about how we collect, use, and disclose personal information of our candidates.","salary_min":171600,"salary_max":222200,"location":"San Francisco, CA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["cloud","payments","tensorflow","data-pipeline","computer-vision","llm","pytorch"],"apply_url":"https://job-boards.greenhouse.io/twitch/jobs/8872835002","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-10-08T17:45:33Z","expires_at":"2026-11-13T16:58:02.931248Z","created_at":"2026-10-14T15:21:42.861233Z","updated_at":"2026-10-14T16:58:02.934126Z","company_name":"Twitch","company_slug":"twitch","company_logo_url":"https://www.google.com/s2/favicons?domain=twitch.tv\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/edfac032-5e92-46fd-a2e9-6a04b912c3b3"},{"id":"208f6a9b-9968-46f0-aa68-f972d885cce0","company_id":"41d4f321-d748-4a4e-962f-dd5d23de3e43","title":"Senior Data Scientist, Systems Performance","slug":"senior-data-scientist-systems-performance-fc07da4b","description":"Mission Summary: \n The Systems Readiness and Performance team is the crucial bridge between software development and real-world deployment. We are responsible for driving system design, for verifying and validating the autonomy stack, and for defining, measuring, and validating system performance targets. We work closely with stakeholders in autonomy, infrastructure, and operations to build the definitive safety case for the commercial launch of our fully driverless IONIQ 5 robotaxis in Las Vegas.\n Rigorous behavioral and system performance evaluation is critical to scaling our service and achieving Motional's long-term goals. We are seeking a Senior Data Scientist to lead initiatives that improve evaluation and testing methodologies, measure the quality and trustworthiness of our evaluation portfolio, and partner with engineering teams to monitor and strengthen the health of the evaluation ecosystem. You will help ensure Motional's performance evaluation is efficient, scientifically rigorous, and aligned with our growth priorities.\n In this role, you will lead development of evaluation methodologies and metrics that assess the quality and business relevance of solutions spanning on-road and off-board data. You will influence the evaluation signals software engineers rely on to validate that changes to the autonomy stack deliver intended improvements, conduct deep-dive analyses to understand bottlenecks in current methodologies, and prototype improvements in metrics, sampling strategy, and statistical inference. You will develop deep expertise in how evaluation signals inform launch and release decisions, weigh trade-offs across the evaluation portfolio, and provide actionable insights for designing launch criteria.\n If you are a rigorous, collaborative data scientist with a passion for improving how autonomous systems are measured and validated at scale, we encourage you to apply. \n What You’ll Be Doing: \n \n Lead the development of evaluation frameworks for the autonomous system, connecting technical problems to rigorous, data-driven approaches for measuring and validating performance. \n Collaborate closely with Functional Safety and Systems Engineering teams to ensure evaluation metrics map effectively to automotive safety standards (e.g., SOTIF, ISO 21448) and launch readiness decisions.\n Ensure evaluation metrics are reliable enough to inform safety cases and launch readiness decisions.\n Monitor the reliability of evaluation metrics and incoming performance data over time, including detecting drift, inconsistencies, and degradation in metric definitions, to ensure the evaluation ecosystem remains accurate and trustworthy.\n Drive our approach to performance analysis using data-backed statistical methods for simulation and on-road data.\n Develop new statistical analysis methods to analyze AV performance data and lead by example in applying them to real problems.\n Partner with triage operators and simulation engineers to turn raw disengagements and identified edge cases into procedural or generative scenarios, feeding them back into the simulation catalog to strengthen test coverage.\n Use fleet and evaluation data to identify edge cases in an automated manner and coverage gaps, and partner with engineering to feed novel scenarios back into the simulation catalog and strengthen test coverage.\n Build confidence in the evaluation framework through data-driven insights and clear communication of findings to technical leaders and stakeholders.\n Establish correlation between on-road and simulation data to improve how we interpret and act on evaluation results.\n Make sense of large datasets to drive insights, solve ambiguous performance questions, and communicate results effectively across teams and upward to leadership.\n Establish a self-service model for developers to understand the impact of their changes.\n Develop new metrics, interpret trends, and investigate anomalies in simulation and on-road data. \n Collaborate with developers to drive action based on these results.\n Serve as an advisor and influence collaborators across multiple teams, promote data-aware decision making, and establish best practices around the use of data.\n Mentor and collaborate with fellow engineers and foster a positive, collaborative work environment.\n Introduce the use of ML methods for performance evaluation where they add rigor and scale. \n \n What You Bring: \n \n 5+ years of industry experience solving complex problems with large datasets, with a track record of framing ambiguous questions into rigorous, data-driven analyses.\n Bachelor's or higher degree in Computer Science, Computer Engineering, Data Science, Robotics, Physics, Mathematics, or a related quantitative field. Master's or PhD preferred.\n Strong problem-solving skills: ability to break down complex performance and evaluation challenges, think logically, and remove bias from how problems are defined and assessed.\n Strong Python and SQL skills, with demonstrated expe","salary_min":149000,"salary_max":198500,"location":"Boston, MA","workplace":"hybrid","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["autonomous-vehicles","robotics","mlops","deep-learning","data-pipeline","data-science"],"apply_url":"https://motional.com/open-positions/?gh_jid=8016984003#/8016984003","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-10-08T17:27:51Z","expires_at":"2026-11-13T16:56:23.376677Z","created_at":"2026-10-14T15:20:30.457065Z","updated_at":"2026-10-14T16:56:23.379931Z","company_name":"Motional","company_slug":"motional","company_logo_url":"https://www.google.com/s2/favicons?domain=motional.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/208f6a9b-9968-46f0-aa68-f972d885cce0"},{"id":"adb9ec1c-9b8c-4e90-bd57-8b6787035ee7","company_id":"76c63eb7-c307-4322-8c2b-c20216feec49","title":"Senior Software Engineer, Data Ingestion","slug":"senior-software-engineer-data-ingestion-ef3cb16f","description":"GET TO KNOW US\n\nHorizon3 http://Horizon3.ai is a fast-growing, remote cybersecurity company dedicated to the mission of enabling organizations to proactively find, fix and verify exploitable attack vectors before criminals exploit them. Our flagship product, the NodeZero™ platform, delivers production-safe autonomous pentests and other key assessment operations that scale across the largest internal, external, cloud, and hybrid cloud environments. NodeZero has been adopted by organizations of all sizes, from small educational institutions to government agencies and Global 100 enterprises. It is used by IT Ops/SecOps teams, consulting pentesters, and MSSPs and MSPs.\n\nWe are a fusion of former U.S. Special Operations cyber operators, startup engineers \u0026 operators, and formerly frustrated cybersecurity practitioners. We're committed to helping solve our common security problems: ineffective security tools and false positives, resulting in alert fatigue, blind spots, \"checkbox\" security culture, cybersecurity skills shortage, and the long lead time and expense of hiring outside consultants. Collectively, we are a team of learn-it-alls, committed to a culture of respect, collaboration, ownership, and results.\n\n \n \n\n\nWHAT YOU'LL DO\n\nThe Sr. Software Engineer on the Data Ingestion team builds and maintains the pipelines that transform raw pentest output into structured, queryable data across the NodeZero platform. NodeZero runs thousands of autonomous pentests — your pipelines are the first link in the chain between execution engine results and the insights customers see. You'll work on high-throughput ETL systems that normalize heterogeneous scan data, push structured findings to graph and relational stores, and feed downstream systems including Asset Inventory, reporting, and analytics.\n\nThis role reports to the Data Ingestion Engineering Manager and works alongside a small team of backend engineers including one P5 technical anchor.\n\n\n\n\nRESPONSIBILITIES\n\n - Design, implement, and operate data ingestion pipelines that process pentest results at scale — scan output, discovered assets, vulnerability findings, and network topology data\n\n - Own end-to-end delivery of pipeline features: schema design, implementation, testing, deployment, and monitoring\n\n - Build and maintain ETL components in Go and/or Python that normalize heterogeneous inputs from NodeZero's execution engines\n\n - Partner with the Asset Inventory and Data Platform teams to define and evolve the data contracts that connect ingestion to downstream consumers\n\n - Diagnose and resolve production issues in pipeline latency, data correctness, and throughput\n\n - Contribute to code and design reviews; provide engineering guidance to P3 engineers on the team\n\n \n\n\nWHAT YOU'LL BRING\n\n\nBACKEND ENGINEERING\n\n - 5+ years of professional software engineering experience with production backend systems\n\n - Strong Go and/or Python proficiency — this team's primary languages\n\n - Demonstrated experience building and operating data pipelines or ETL systems in production (streaming or batch)\n\n - Working knowledge of message queues or event streaming systems (Kafka, RabbitMQ, or equivalent)\n\n\nDATA \u0026 STORAGE\n\n - Experience with relational databases (PostgreSQL or equivalent) — schema design, query optimization, migrations\n\n - Familiarity with graph databases or graph data models is a strong asset\n\n - Understanding of data normalization trade-offs, schema evolution, and backward compatibility\n\n\nPLATFORM \u0026 OPERATIONS\n\n - Experience running services on Kubernetes and containerized environments (Docker)\n\n - Comfort deploying and debugging distributed systems in AWS or equivalent cloud\n\n - Operational mindset: you instrument your code, write runbooks, and own your services through their full lifecycle\n\n\nCOLLABORATION\n\n - Ability to work across team boundaries: you define data contracts with downstream consumers, not just ship to a queue and walk away\n\n - Clear written communication — design docs, PR descriptions, and async updates to distributed teammates\n\n \n\n\nNICE TO HAVES\n\n - Experience in cybersecurity, security tooling, or working with vulnerability or threat data\n\n - Exposure to graph databases (Neo4j, DGraph, or equivalent)\n\n - Experience with Apache Kafka or similar event streaming platforms at production scale\n\n - Background in offensive security tools or pentest workflows — you'll understand the data you're ingesting\n\n \n\n\nTRAVEL REQUIRED\n\nWe are a fully remote company, and this job may require up to 5% of travel to be successful.\n\n \n\n\nCOMPENSATION AND VALUES\n\nAt Horizon3, we believe that our people are our greatest asset, and our compensation philosophy reflects this core value. We are committed to fostering an environment where all employees feel valued, respected, and rewarded for their contributions. Our compensation structure is designed to be fair, competitive, and transparent, ensuring that every team member is recognized and compensated equitab","salary_min":199750,"salary_max":260000,"location":"Remote (US)","workplace":"hybrid","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["cloud","data-pipeline","security","distributed-systems"],"apply_url":"https://jobs.ashbyhq.com/horizon3ai/8537f395-034a-4a07-8b8a-4925c337f40c/application","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-10-08T16:28:51.788Z","expires_at":"2026-11-13T16:56:49.935459Z","created_at":"2026-10-14T15:20:34.950145Z","updated_at":"2026-10-14T16:56:49.938515Z","company_name":"Horizon3 AI","company_slug":"horizon3-ai","company_logo_url":"https://www.google.com/s2/favicons?domain=horizon3.ai\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/adb9ec1c-9b8c-4e90-bd57-8b6787035ee7"},{"id":"4290888b-e1c9-49a5-9d2a-4ba08900207b","company_id":"714f360f-a244-487d-b3f0-0c43518a9e66","title":"Staff Machine Learning Engineer, Content Visual AI","slug":"staff-machine-learning-engineer-content-visual-ai-1a89c7fb","description":"About Pinterest: \n Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.\n Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the  flexibility to do your best work. Creating a career you love? It’s Possible.\n At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI.\n Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here .\n The User and Content Foundations org is responsible for deeply understanding our content, users and their interactions by generating high-quality, reusable signals and insights that power relevance and personalization across the platform. We work at the intersection of distributed machine learning, large multimodal models, data infrastructure, and product adoption to build foundational capabilities that support our partners, including Discovery, Search, Growth, and Ads. We are looking for an experienced Staff Machine Learning Engineer / Technical Lead who can drive the team’s technical direction, lead the team in building scalable content understanding systems, and make an impact on core Pinterest user and business outcomes.  In this role, you will lead ambiguous, high-impact scientific and engineering efforts that create reusable representations, models, and signals.  You’ll work across research, machine learning, infrastructure, and engineering domains to turn advances in VLMs, LLMs, multimodal learning and sequence modeling into impact.  This role is ideal for a deeply technical leader who combines strong ML judgment with product intuition. Expertise in visual representation learning and content understanding is especially valuable; experience with user understanding, recommender systems and LLMs is also highly relevant.\n What will you be doing: \n \n Set the technical direction and multi-quarter strategy for foundational ML capabilities across visual representation learning, multimodal content understanding, and LLM-based personalization.\n Lead high-impact scientific and technical initiatives from problem definition and research strategy through experimentation, productionization, and adoption.\n Build reusable embeddings, representations, semantic signals, and ML infrastructure while advancing techniques such as VLMs, LLMs, sequence modeling, self-supervised learning, retrieval, and distillation.\n Partner with Product, Data Science, Applied Science, and Engineering to translate foundational capabilities into product outcomes and influence cross-functional roadmaps and investments.\n Establish rigorous practices for modeling, data pipelines, distributed training, inference, evaluation, experimentation, and operational excellence while mentoring engineers and scientists.\n \n What we’re looking for: \n \n Minimum 7 years of industry experience, including 2+ years of tech leading teams\n MS or PhD degree in computer science, machine learning, or equivalent industry experience.\n Publications at top machine learning, multimodal and/or data mining conferences (e.g., NeurIPS, ICML, CVPR, ECCV, ACL, KDD, SIGIR, etc.) or open-source ML experience\n Hands-on experience with large-scale distributed training of generative models (LLMs, VLMs, sequence models).\n Hands-on experience with distributed tooling for ML data pipelines (e.g. Spark, Hive, MapReduce)\n Hands-on experience leading ambiguous ML and research efforts in building, applying and improving GenAI models for content understanding, search and recommendation systems.\n Technical leadership and experience in setting direction for roadmaps that span modeling, data pipelines and productionization, and aligning stakeholders on priorities, trade-offs, and execution plans.\n Excellent cross-functional communication and collaboration skills\n \n Relocation Statement: \n \n This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.\n \n In-Office Requirement Statement: \n \n We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role.\n This role will need to be in the office for in-person collaboration 1-2 times/quarter and can be situated anywhere in the U","salary_min":189308,"salary_max":389753,"location":"San Francisco, CA","workplace":"remote","remote_scope":"unknown","job_type":"full-time","experience_level":"lead","tags":["data-pipeline","distributed-systems","llm","generative-ai","machine-learning"],"apply_url":"https://www.pinterestcareers.com/jobs/?gh_jid=8247246","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-10-08T15:49:26Z","expires_at":"2026-11-13T16:57:51.232293Z","created_at":"2026-10-14T15:21:31.463492Z","updated_at":"2026-10-14T16:57:51.235425Z","company_name":"Pinterest","company_slug":"pinterest","company_logo_url":"https://www.google.com/s2/favicons?domain=www.pinterest.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/4290888b-e1c9-49a5-9d2a-4ba08900207b"}],"page":1,"per_page":20,"total":1081,"total_is_exact":true,"total_pages":55}