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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 \n Developers and enterprises build on Claude through the Claude Platform. Our models are getting exponentially more intelligent, and our APIs and developer tools need to evolve just as quickly so developers can take advantage of that intelligence safely.\n We're hiring Engineering Managers to lead teams that build these APIs and developer tools. We are shipping APIs and infrastructure for building and running agents in production. These APIs ship alongside SDKs, docs, and tooling that developers (and agents!) utilize in order to build high quality integrations. These abstractions are backed by our identity, verification, and trust platform, which lets us scale access to Claude responsibly.\n Key responsibilities\n \n Lead a team of engineers to ship high quality work quickly, owning planning, prioritization, delivery, and operational health\n Partner with product to set your team's roadmap, and bring a strong point of view on what developers need\n Talk to customers directly and turn what you learn into engineering priorities\n Guide API design and architecture decisions for distributed systems that have to stay reliable as usage grows\n Work closely with Research, Safeguards, Security, and go-to-market teams to bring new model capabilities to developers safely\n Recruit, coach, and grow strong engineers\n \n Minimum qualifications\n \n You have experience managing high-performing software engineering teams shipping developer products, including hiring, coaching, and performance management\n You're product-minded and customer-oriented. You care about who uses what your team builds, and you've shaped roadmaps alongside product partners\n You've built and scaled distributed systems in production, and you have the technical depth required to guide architecture and API design\n You've led teams that ship quickly and hold a high quality bar\n You collaborate well across functions and can align teams you don't manage\n You care about Anthropic's mission and about developing AI safely\n \n Preferred qualifications\n \n Experience building agent infrastructure or products on top of LLMs\n Experience with identity, verification, access control, or trust and safety systems\n \n Deadline to apply:  None. Applications will be reviewed on a rolling basis. \n Location Preference: Preference will be given to candidates based in NY, SEA, SF or the Bay Area given the current location of team. \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 $405,000 — $485,000 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, or banking information before you","salary_min":405000,"salary_max":485000,"location":"San Francisco, CA","workplace":"hybrid","remote_scope":"not_remote","job_type":"full-time","experience_level":"principal","tags":["api-design","distributed-systems","llm","alignment","platform"],"apply_url":"https://job-boards.greenhouse.io/anthropic/jobs/5378643008","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-10-14T04:15:36Z","expires_at":"2026-11-13T16:54:55.457822Z","created_at":"2026-10-14T15:17:21.754142Z","updated_at":"2026-10-14T16:54:55.461135Z","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/12e81e2e-7f84-4b3e-8fc0-0b66e2fcdb45"},{"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":"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":"84dcc4a4-8758-4ae4-a08c-63d080d8c66e","company_id":"b467c425-56b3-40ce-826a-e603e82a08bd","title":"Principal Machine Learning Platform Engineer, Foundation AI ","slug":"principal-machine-learning-platform-engineer-foundation-ai-dcf9ae0b","description":"Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators.  \n At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there.  \n A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. \n ML Platform powers hundreds of use cases and billions of inferences per day across Discovery, Safety, Economy, and Creation. We build the primitives that let teams train, evaluate, deploy, and operate models quickly and safely—so a new ML idea can reach production in weeks or less. We’re looking for a Principal Platform Engineer who treats platform as a product : someone who can turn complex ML/AI infrastructure into clear, durable APIs, SDKs and easy-to-use CLIs/UIs that our internal developers love.\n This role blends product thinking, developer experience, backend engineering, and infrastructure at scale. Hands‑on ML experience is a plus; a track record of building internal platforms that developers love is a must.\n You Are \n \n Have 10+ years of professional experience and have a wealth of system design experience upon which to draw to build a scalable, reliable ML platform for all of Roblox.\n A Code Machine; you love not only to design and communicate ideas but also to actually ship product. You obsess about user feedback, and constantly drive towards getting platform features in customers hands.\n Proficient in API design and developer experience—gRPC/REST APIs, SDKs, CLIs, and simple UIs that developers love to use. \n Good to have - experience with the end‑to‑end ML model lifecycle such as model serving, training, model CI/CD, and GPU resources management, and have built ML platform features that are delightful to use. \n You're passionate about infrastructure‑as‑code and automating painful manual processes. You push for platform solutions that don’t leave on-call teams carrying the burden of design choices.\n Passionate about supporting ML engineers to meet and understand their needs, and translating them into clean, durable platform abstractions.\n A clear communicator who excels at both written and verbal communication across differing levels of technical detail. \n Bachelor's degree in Computer Science, Computer Engineering, Data Science, or a similar technical field.\n \n You Will \n \n Own platform as a product and set direction end to end: Define requirements, write RFDs, and ship APIs, SDKs, CLIs, and UIs that make ML@Roblox easy to adopt.\n Bootstrap and maintain core ML Platform components: Serving Layer, Model Registry, Pipeline Orchestrator, and Training/Inference control planes.\n Set technical strategy and oversee development of high scale and reliable infrastructure systems, with clear SLOs for latency, availability, and cost. \n Design great developer experiences with paved‑road templates, golden paths, opinionated defaults, and clear docs to reduce time‑to‑first‑production. \n Instrument the platform to measure adoption, friction, reliability, and cost; use data to prioritize roadmap and validate outcomes. \n Partner across organizations (ML Engineering, Data Science, Infra/SRE, Security, Finance) to optimize performance, safety, and spend, especially for GPU‑intensive training and high‑QPS inference. \n Propose and implement new platform tooling to improve time to production for MLEs across the full ML lifecycle.\n Stay abreast of industry trends in machine learning and infrastructure to ensure the adoption of leading‑edge technologies and practices. \n Mentor junior and senior engineers, lead design reviews, and drive cross‑team architectural decisions that last.\n For roles that are based at our headquarters in San Mateo, CA: The starting base pay for this position is as shown below. The actual base pay is dependent upon a variety of job-related factors such as professional background, training, work experience, location, business needs and market demand. Therefore, in some circumstances, the actual salary could fall outside of this expected range. This pay range is subject to change and may be modified in the future. All full-time employees are also eligible for equity compensation and for benefits as described on this page .\n Annual Salary Range\n $295,250 — $345,050 USD \n Roles that are based in an office are onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday (unless otherwise noted).\n Roblox provides equal employment opportunities to all e","salary_min":295250,"salary_max":345050,"location":"San Mateo, CA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"principal","tags":["mlops","api-design","platform","machine-learning"],"apply_url":"https://careers.roblox.com/jobs/8233722?gh_jid=8233722","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-10-12T20:57:31Z","expires_at":"2026-11-13T17:02:53.15447Z","created_at":"2026-10-14T15:24:56.150214Z","updated_at":"2026-10-14T17:02:53.157398Z","company_name":"Roblox","company_slug":"roblox","company_logo_url":"https://www.google.com/s2/favicons?domain=roblox.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/84dcc4a4-8758-4ae4-a08c-63d080d8c66e"},{"id":"987bedef-5362-4032-815c-ffe9781e13dc","company_id":"76c63eb7-c307-4322-8c2b-c20216feec49","title":"Senior Engineering Manager, Database Platform","slug":"senior-engineering-manager-database-platform-7979b814","description":"Get to Know Us\n\nHorizon3 is a fast-growing, remote cybersecurity company dedicated to the mission of enabling organizations to proactively find and fix and verify exploitable attack vectors before criminals exploit them. Our flagship product, the NodeZeroTM 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 ITOps/SecOps teams, consulting pentesters, and MSSPs and MSPs. \n\nWe are a fusion of former U.S. Special Operations cyber operators, startup engineers, and formerly frustrated cybersecurity practitioners. We're committed to helping solve our common security problems: ineffective security tools, 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\nWhat You'll Do\n\nYou will lead the Database Platform team — the engineering team responsible for the data infrastructure that underpins every NodeZero pentest, finding, and report. NodeZero operates at scale: millions of discovered assets, tens of millions of vulnerability findings, and audit-critical data that our customers rely on to remediate risk. The Database Platform team owns the design, operation, and reliability of our core data layer — currently PostgreSQL as the primary store and Neo4j for the asset graph, with time-series and analytical stores on the roadmap as NodeZero's data volume and use cases grow. You will lead a team of ~8 engineers including a Principal Engineer, and you will build this team from a strong foundation into a fully staffed, world-class data platform organization.\n\n - Team Building \u0026 Culture: Hire, mentor, and grow the Database Platform team to full capacity. Establish database engineering norms and a culture of ownership for engineers who share responsibility for the most critical data layer in our stack.\n\n - Data Architecture: Partner with the Principal Engineer to define the technical direction for NodeZero's data platform — schema design standards, query patterns, migration strategies, and scalability principles.\n\n - Reliability \u0026 Operations: Own SLOs for database availability, query latency, and data integrity across production environments. Drive oncall maturity and runbook quality.\n\n - Data Modeling \u0026 Schema Governance: Establish schema review processes and data modeling standards. Ensure NodeZero's data model evolves cleanly as new pentest capabilities ship.\n\n - Cross-team Partnership: Collaborate with Data Ingestion, Security Research, and API Platform teams to align on data contracts, API design, and pipeline dependencies.\n\n - Act as a Product Owner: Translate data platform needs from Security Research and Product into a clear, prioritized engineering roadmap.\n\n \n\nWhat You'll Bring\n\nData Platform Leadership \u0026 Architecture\n\n - Demonstrated experience leading teams that design, scale, and operate relational databases (PostgreSQL preferred) and hybrid data stores (graph, time-series, or document) in production at scale.\n\n - Experience defining schema migration strategies for high-velocity production environments with zero-downtime requirements.\n\n - Experience with multi-tenant data architectures: customer data isolation, row-level security, and data residency concerns.\n\n - Strong understanding of database performance: query optimization, indexing strategies, EXPLAIN analysis, and connection pooling.\n\nTeam Building \u0026 Engineering Culture\n\n - Experience building or significantly growing an engineering team — including hiring, onboarding, and establishing engineering norms tailored for data-intensive systems.\n\n - Proven ability to define and instill engineering culture: rigorous schema review, data integrity standards, operational runbooks, and oncall rotation.\n\n - Drives high-impact architecture decisions rigorously — requires design documents, runs structured reviews, builds consensus across platform teams.\n\n - Able to partner effectively with a Principal Engineer and leverage their technical leadership without diminishing team ownership.\n\nTechnical Expertise\n\n - Proficient in Go, Python, or SQL (deep expertise).\n\n - Production experience with PostgreSQL at scale: partitioning, logical replication, pg_bouncer/pgpool, read replicas.\n\n - Experience with AWS data services: RDS/Aurora, DynamoDB, ElastiCache, or equivalent.\n\n - Familiarity with graph databases (Neo4j, AWS Neptune) or time-series stores (TimescaleDB, InfluxDB) is a strong plus.\n\n - Kubernetes and containerized database operations — stateful workload management.\n\n \n\nNice to Haves\n\n - Background in cybersecurity data, th","salary_min":242250,"salary_max":275000,"location":"Remote (US)","workplace":"hybrid","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["api-design","cloud","security","platform"],"apply_url":"https://jobs.ashbyhq.com/horizon3ai/6fe62d14-c5c1-40bb-86bb-823f5e3084c5/application","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-10-08T14:31:42.771Z","expires_at":"2026-11-13T16:56:49.918953Z","created_at":"2026-10-14T15:20:34.935504Z","updated_at":"2026-10-14T16:56:49.921937Z","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/987bedef-5362-4032-815c-ffe9781e13dc"},{"id":"4dcc37f5-6f23-4bac-9d72-ddcbec05893a","company_id":"b467c425-56b3-40ce-826a-e603e82a08bd","title":"Senior Machine Learning Platform Engineer, Foundation AI","slug":"senior-machine-learning-platform-engineer-foundation-ai-582c933e","description":"Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators.  \n At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there.  \n A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. \n ML Platform powers hundreds of use cases and billions of inferences per day across Discovery, Safety, Economy, and Creation. We build the primitives that let teams train, evaluate, deploy, and operate models quickly and safely—so a new ML idea can reach production in weeks or less. We’re looking for a Principal Platform Engineer who treats platform as a product : someone who can turn complex ML/AI infrastructure into clear, durable APIs, SDKs and easy-to-use CLIs/UIs that our internal developers love.\n This role blends product thinking, developer experience, backend engineering, and infrastructure at scale. Hands‑on ML experience is a plus; a track record of building internal platforms that developers love is a must.\n You Are \n \n Have 7+ years of professional experience and have a wealth of system design experience upon which to draw to build a scalable, reliable ML platform for all of Roblox.\n A Code Machine; you love not only to design and communicate ideas but also to actually ship product. You obsess about user feedback, and constantly drive towards getting platform features in customers hands.\n Proficient in API design and developer experience—gRPC/REST APIs, SDKs, CLIs, and simple UIs that developers love to use. \n Good to have - experience with the end‑to‑end ML model lifecycle such as model serving, training, model CI/CD, and GPU resources management, and have built ML platform features that are delightful to use. \n You're passionate about infrastructure‑as‑code and automating painful manual processes. You push for platform solutions that don’t leave on-call teams carrying the burden of design choices.\n Passionate about supporting ML engineers to meet and understand their needs, and translating them into clean, durable platform abstractions.\n A clear communicator who excels at both written and verbal communication across differing levels of technical detail. \n Bachelor's degree in Computer Science, Computer Engineering, Data Science, or a similar technical field.\n \n You Will \n \n Own platform as a product and set direction end to end: Define requirements, write RFDs, and ship APIs, SDKs, CLIs, and UIs that make ML@Roblox easy to adopt.\n Bootstrap and maintain core ML Platform components: Serving Layer, Model Registry, Pipeline Orchestrator, and Training/Inference control planes.\n Set technical strategy and oversee development of high scale and reliable infrastructure systems, with clear SLOs for latency, availability, and cost. \n Design great developer experiences with paved‑road templates, golden paths, opinionated defaults, and clear docs to reduce time‑to‑first‑production. \n Instrument the platform to measure adoption, friction, reliability, and cost; use data to prioritize roadmap and validate outcomes. \n Partner across organizations (ML Engineering, Data Science, Infra/SRE, Security, Finance) to optimize performance, safety, and spend, especially for GPU‑intensive training and high‑QPS inference. \n Propose and implement new platform tooling to improve time to production for MLEs across the full ML lifecycle.\n Stay abreast of industry trends in machine learning and infrastructure to ensure the adoption of leading‑edge technologies and practices. \n Mentor junior and senior engineers, lead design reviews, and drive cross‑team architectural decisions that last.\n For roles that are based at our headquarters in San Mateo, CA: The starting base pay for this position is as shown below. The actual base pay is dependent upon a variety of job-related factors such as professional background, training, work experience, location, business needs and market demand. Therefore, in some circumstances, the actual salary could fall outside of this expected range. This pay range is subject to change and may be modified in the future. All full-time employees are also eligible for equity compensation and for benefits as described on this page .\n Annual Salary Range\n $243,290 — $312,970 USD \n Roles that are based in an office are onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday (unless otherwise noted).\n Roblox provides equal employment opportunities to all em","salary_min":243290,"salary_max":312970,"location":"San Mateo, CA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["mlops","api-design","machine-learning","platform"],"apply_url":"https://careers.roblox.com/jobs/8233720?gh_jid=8233720","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-10-06T19:14:18Z","expires_at":"2026-11-13T17:02:53.254178Z","created_at":"2026-10-14T15:24:56.251553Z","updated_at":"2026-10-14T17:02:53.257447Z","company_name":"Roblox","company_slug":"roblox","company_logo_url":"https://www.google.com/s2/favicons?domain=roblox.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/4dcc37f5-6f23-4bac-9d72-ddcbec05893a"},{"id":"d355d94d-94d0-4989-a686-a5c733740dd1","company_id":"5fac52d7-9b0b-4990-80a2-e2949dd0af1d","title":"Director of Engineering, Marketing Agent Platform","slug":"director-of-engineering-marketing-agent-platform-35e1e19c","description":"Attentive® is the AI marketing platform for 1:1 personalization redefining the way brands and people connect. We’re the only marketing platform that combines powerful technology with human expertise to build authentic customer relationships. By unifying SMS, RCS, email, and push notifications, our AI-powered personalization engine delivers bespoke experiences that drive performance, revenue, and loyalty through real-time behavioral insights.\n  \n Recognized as the #1 provider in SMS Marketing by G2, Attentive partners with more than 8,000 customers across 70+ industries. Leading global brands like Crate and Barrel, Urban Outfitters, and Carter’s work with us to enable billions of interactions that power tens of billions in revenue for our customers.\n  \n With a distributed global workforce and employee hubs in New York City, San Francisco, London, and Sydney, Attentive’s team has been consistently recognized for its performance and culture. We’re proud to be included in  Deloitte’s Fast 500  (four years running!),  LinkedIn’s Top Startups ,  Forbes’ Cloud 100 (five years running!),  Inc.’s Best Workplaces , and the  Human Rights Campaign Foundation's Corporate Equality Index !\n About the Role \n Attentive sends billions of messages each year for more than 8,000 brands, helping drive tens of billions of dollars in revenue for our customers. Behind every message is a series of decisions: who should receive it, what it should say, when it should send, which offer to include, and which channel to use.\n We’re building the next generation of that decision-making system: an autonomous marketing agent designed to transform how brands plan, execute, and optimize their marketing. Marketers will set the goals and boundaries, while the platform develops strategies, takes action, measures results, and continuously improves over time.\n In this role, you’ll build the engineering systems that make that vision possible. You’ll work at the intersection of agentic planning, real-time behavioral signals, platform capabilities, experimentation, and reliable execution at massive scale. Your work will help turn increasingly sophisticated AI systems into dependable products that can make and act on millions of marketing decisions.\n The opportunity extends beyond Attentive’s own channels. Through APIs and MCP, we’re building toward a future where this intelligence can operate across a brand’s broader marketing stack, including external email providers, advertising platforms, websites, and custom agents.\n This is an opportunity to help evolve Attentive from a platform that powers messages into one that coordinates and continuously improves a brand’s broader marketing program.\n What You’ll Accomplish \n \n 3+ years managing engineers, 8+ years engineering\n Has seen and helped build engineering excellence at a top-tier organization. Sets an ambitious bar for talent and execution, knows how to hire and lead an A+ team, and brings strong technical opinions with the curiosity to challenge their own assumptions.\n Has worked on building large-scale reinforcement learning systems (not the ML, but the data, infra, and serving platforms beneath it); examples of where you might find these engineers are from frontier labs,  AI-native companies using RL for fine-tuning, AI labeling companies (Handshake, Mercor, ScaleAI), or other tech companies that have built web-scale production-grade reinforcement learning system\n Understands the interface between product engineering, ML, and data science, and is fluent enough to be a real partner. Understands what a model needs from the platform, without needing to own the model.\n Has shipped agentic or LLM-backed systems and knows the production tradeoffs of tool use, orchestration, and retrieval\n Strong on distributed, data-heavy systems: streaming, event-driven, cost-aware inference\n Tracks the field closely, has a real view on what shipped last quarter and why it matters, and has killed their own work when something better arrived\n Still writes code. Hires well, gives direct feedback, holds a high performance bar, and builds accountability without drama.\n \n Your Expertise \n \n AI at massive data scale: You know how to build intelligent systems that take advantage of rich, high-volume behavioral data and translate it into better decisions and experiences.\n Startup mindset, scaled environment: You move quickly, embrace ambiguity, and take ownership while building within the resources and reach of an established Cloud 100 company.\n High-impact ownership: You’re energized by working on one of the company’s biggest strategic bets, with visibility and impact across senior leadership and the board.\n Technical and product leadership: You want meaningful influence over the team, architecture, technical direction, and roadmap, not just a predefined set of engineering tasks.\n \n You'll get competitive  perks and benefits , from health \u0026 wellness to equity, to help you bring","salary_min":340000,"salary_max":390000,"location":"New York, NY","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"lead","tags":["agents","llm","reinforcement-learning","fine-tuning","platform"],"apply_url":"https://job-boards.greenhouse.io/attentive/jobs/4429776009","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-10-06T15:15:17Z","expires_at":"2026-11-13T17:03:24.644358Z","created_at":"2026-10-14T15:25:28.187597Z","updated_at":"2026-10-14T17:03:24.648539Z","company_name":"Attentive","company_slug":"attentive","company_logo_url":"https://www.google.com/s2/favicons?domain=attentive.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/d355d94d-94d0-4989-a686-a5c733740dd1"},{"id":"926edef4-bc64-4e58-a11c-4510c39c51a9","company_id":"7455e78c-482b-4f7b-9d62-11b78645818a","title":"Senior ServiceNow Platform Engineer","slug":"senior-servicenow-platform-engineer-ffbcbc76","description":"About the Role \n We are seeking an experienced Senior ServiceNow Platform Engineer to design, build, and operate enterprise-grade ServiceNow capabilities that support critical business operations. You will own platform stability, configuration, and optimization while driving strategic initiatives in automation, Agentic AI, and knowledge management.\n You will provide technical leadership and governance, manage the team's Agile backlog and ticket queue, write SOPs, and present platform metrics to IT management weekly.\n Who you are \n \n Strong written and verbal communicator with excellent documentation skills.\n Collaborative, detail-oriented, and organized.\n Able to manage multiple priorities in a fast-paced environment.\n Calm under pressure and energized by complex problems.\n \n What you will do \n \n Configure, maintain, and support the ServiceNow platform, including workflows, automations, and integrations.\n Troubleshoot complex platform issues and support major releases, high-impact incidents, and platform-wide changes.\n Design and enhance automation and Agentic AI capabilities to reduce manual effort and enable self-service.\n Create and maintain knowledge articles and SOPs documenting governance, standards, and best practices.\n Perform routine audits, maintenance, and access, security, and configuration reviews.\n Own the team's ticket queue against SLAs and manage the Agile backlog and sprint priorities.\n Present key platform metrics to IT management weekly.\n Partner with administrators, developers, and stakeholders across IT and SaaS to support workflows and long-term platform strategy.\n \n Must Haves \n \n 5+ years of strong communication and collaboration, translating complex ServiceNow concepts (Flow Designer, IntegrationHub, Agentic AI) into clear guidance for technical and business audiences.\n 5+ years of technical leadership and governance, including mentoring, design and code reviews, and enforcing standards and SOPs.\n 5+ years of strong prioritization skills, including 3-5 years managing an Agile backlog and a ticket queue against SLAs.\n 7+ years of advanced ServiceNow development: Flow Designer, IntegrationHub, REST/SOAP, Scripted REST APIs, OAuth, service catalog, Virtual Agent, knowledge management, scoped apps, and Glide scripting.\n 7+ years troubleshooting complex issues and root-cause analysis, with the ability to present platform metrics to IT management.\n 1+ years with ServiceNow Agentic Workflow and AI Agents.\n 1+ years using Claude Cowork or Claude Code for ServiceNow development, including prompt engineering and skill creation.\n 1+ years configuring and securing ServiceNow MCP Server/Client integrations with governed MCP Tools and ACL/OAuth scoping.\n 3+ years with Hardware Asset Management, Employee Center, Now Assist, and Operations Workspace.\n 1+ years with Atlassian products (Jira, JSM, Confluence), with a desire to become proficient.\n \n Nice to Have \n \n Experience as a ServiceNow platform owner, lead engineer, or architect, including roadmap planning and technical debt management.\n ServiceNow certifications (CSA, CAD); advanced certifications preferred.\n Familiarity with broader agentic AI and LLM tooling and governed enterprise use of AI assistants.\n Advanced Atlassian administration and knowledge of enterprise security and compliance.\n \n We look forward to your application and the possibility of you joining our dynamic Abnormal team!\n #LI-NT1\n Actual compensation will be determined based on several non-discriminatory factors including skills, experience, qualifications, and geographic location. In addition to base salary, this role may be eligible for bonus or incentive compensation, equity, and a comprehensive benefits package.\n Base salary range:\n $141,500 — $203,500 USD \n A note on AI in our process:  Abnormal AI uses AI-assisted tools to help our recruiting team prepare for candidate interviews. These tools analyze resume content and role requirements to suggest interview questions and areas for the interviewer to explore.They do not make hiring decisions or screen candidates automatically. Every decision about a candidacy is made by a person. Further, if your application is successful and Abnormal AI makes a conditional offer of employment, we will carry out pre-employment checks which must be successfully completed to progress to a final offer. All processes and pre-employment checks are in line with prevailing legislation and Abnormal AI's policies relevant to our security and privacy standards.\n Abnormal AI is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status or other characteristics protected by law. For our EEO policy statement please click here . If you would like more information on your EEO rights under the law, please  click here .","salary_min":141500,"salary_max":203500,"location":"Remote (US)","workplace":"remote","remote_scope":"restricted","job_type":"full-time","experience_level":"senior","tags":["llm","agents","api-design","platform"],"apply_url":"https://abnormal.ai/careers/jobs/8011780003?gh_jid=8011780003","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-10-05T15:58:26Z","expires_at":"2026-11-13T16:55:40.551438Z","created_at":"2026-10-14T15:19:46.219306Z","updated_at":"2026-10-14T16:55:40.555382Z","company_name":"Abnormal Security","company_slug":"abnormal-security","company_logo_url":"https://www.google.com/s2/favicons?domain=abnormalsecurity.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/926edef4-bc64-4e58-a11c-4510c39c51a9"},{"id":"4e8bd1d9-ab10-4cb5-8d85-51260e0e52c5","company_id":"a0000000-0000-0000-0000-000000000003","title":"Senior Software Engineer, Orchestration Platform","slug":"senior-software-engineer-orchestration-platform-23031a94","description":"Scale is building reliable AI systems for the world’s most important decisions. Our products help leading enterprises, governments, and frontier AI labs build, deploy, and evaluate AI systems at scale.\n The Orchestration Platform is a core technology used across the company to run durable, reliable, and scalable workflows. It powers the complex, long-running processes behind Scale’s products - from data and model-evaluation pipelines to operational systems and customer-facing workflows.\n As a Senior Software Engineer, you will help build and evolve this foundational orchestration platform. You will design the primitives, services, and developer experience that enable teams across Scale to author, operate, observe, and safely scale distributed workflows. This is a high-leverage role for an engineer excited by distributed systems, reliability, and platform infrastructure used by many internal teams.\n You will:\n \n Lead the architecture, design, implementation, and operation of Scale’s core orchestration platform.\n Build durable workflow infrastructure using technologies such as Temporal, Cadence, Kubernetes, and cloud-native systems.\n Define platform primitives and APIs for scheduling, retries, state management, task execution, observability, and workflow lifecycle management.\n Partner with product, infrastructure, data, and application teams to understand workflow needs and turn them into reusable platform capabilities.\n Improve the reliability, scalability, security, and developer experience of services that run critical company workflows.\n Establish technical standards and best practices for distributed workflow development, deployment, testing, and incident response.\n Drive cross-functional technical decisions and communicate platform direction clearly to engineers and stakeholders.\n \n Ideally, you have:\n \n 5+ years of full-time software engineering experience, with a focus on backend, infrastructure, and distributed systems.\n Experience building and operating production systems with strong requirements for reliability, availability, and scale.\n Deep familiarity with workflow orchestration platforms such as Temporal, Cadence, AWS Step Functions, Kubernetes, or similar systems.\n Deep familiarity with Kubernetes and containerized production environments, and familiarity with Terraform, Docker.\n Strong knowledge of distributed-systems concepts, including asynchronous execution, retries, idempotency, fault tolerance, state management, and observability.\n A track record of leading technically complex projects from design through rollout and ongoing operation.\n Excellent communication skills and the ability to collaborate effectively with platform consumers and non-technical stakeholders.\n \n Nices to haves:\n \n Experience with data warehouses (Snowflake, Firebolt) and data pipeline/ETL tools (Dagster, dbt).\n Experience with authentication/authorization systems (Zanzibar, Authz, etc.)\n Experience scaling products at hyper-growth startups.\n Excitement to work with AI technologies.\n Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. \n Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:\n $216,000 — $270,000 USD \n PLEASE NOTE:  Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. \n About Us: \n At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst \u0026 Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government a","salary_min":216000,"salary_max":270000,"location":"San Francisco, CA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["cloud","data-pipeline","distributed-systems","platform"],"apply_url":"https://job-boards.greenhouse.io/scaleai/jobs/4739920005","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-10-01T22:18:20Z","expires_at":"2026-11-13T16:55:03.31965Z","created_at":"2026-10-14T15:18:52.932204Z","updated_at":"2026-10-14T16:55:03.322895Z","company_name":"Scale AI","company_slug":"scale-ai","company_logo_url":"https://www.google.com/s2/favicons?domain=scale.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/4e8bd1d9-ab10-4cb5-8d85-51260e0e52c5"},{"id":"30875475-9f7b-4418-b5e2-4e1fd4d51e4f","company_id":"10c1ac82-83d5-423a-b438-4cc7b13d597c","title":"Senior Frontend Engineer, AI Observabilty Platform","slug":"senior-frontend-engineer-ai-observabilty-platform-9864d388","description":"ABOUT US\n\n\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\nToday, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.\n\n\n\n\n\n\nABOUT THE TEAM\n\nThe LangSmith team owns and builds LangChain's core platform for observability, evaluation, and production reliability of AI systems. From tracing and annotation to run rules, evaluations, and beyond, this team owns LangSmith end-to-end. If you want to define what great AI observability looks like at production scale, this is where that work gets done.\n\n\n\n\nABOUT THE ROLE\n\n(Onsite in Boston)\n\nWe’re looking to bring on an experienced frontend engineer to develop and enhance new features on LangSmith, our enterprise platform product for LLM application observability, testing, and debugging.  \n\n \n\n\nWHAT YOU WILL DO\n\n - Develop new user-facing features using React \u0026 Typescript\n\n - Build reusable components and front-end libraries for future use\n\n - Translate designs and wireframes into high-quality code\n\n - Optimize components for maximum performance across a vast array of web-capable devices and browsers\n\n - Collaborate with fullstack and backend developers and UX/UI designers, to enhance usability\n   \n    \n\n\nWHAT YOU WILL BRING\n\n - Extensive front-end engineering experience with strong proficiency in React, JavaScript and TypeScript\n\n - Hands-on experience with front-end development tools like Babel, Vite, Webpack, NPM, and Yarn\n\n - Familiarity with REST APIs and experience working closely with fullstack and backend engineers\n\n - Knowledge of modern authorization mechanisms, such as JWTs\n\n - A passion for user experience, design and building clean, engaging, and intuitive interfaces\n\n - Strong written and oral communication skills, with the ability to explain technical concepts clearly and concisely to both technical and non-technical stakeholders\n\n - The DNA to thrive in a start-up, fast-paced environment. Views unstructured environments as an opportunity to figure out the most impactful work and help define the future success of the company\n\n - An ownership mind-set. You are self-driven and look for opportunities to make an impact.\n\n - Strong computer science fundamentals, ideally with a degree in computer science or related field\n\n \n\nAnnual salary range: $170,000-$235,000 USD\n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. \n\nWe are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.\n\n\n\n\nBENEFITS\n\nBenefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.","salary_min":170000,"salary_max":235000,"location":"Boston, MA","workplace":"hybrid","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["agents","llm","api-design","frontend","platform"],"apply_url":"https://jobs.ashbyhq.com/langchain/14727440-65bd-4cce-bed1-27d0c863eab3/application","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-09-24T19:22:18.136Z","expires_at":"2026-11-13T16:55:08.139595Z","created_at":"2026-10-14T15:18:57.771711Z","updated_at":"2026-10-14T16:55:08.142872Z","company_name":"LangChain","company_slug":"langchain","company_logo_url":"https://www.google.com/s2/favicons?domain=langchain.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/30875475-9f7b-4418-b5e2-4e1fd4d51e4f"},{"id":"e61519b6-b880-4ea2-8718-17b134db59b6","company_id":"3da82454-107f-427f-88e7-01f315ef93fb","title":"Member of Technical Staff - Sandbox Platform","slug":"member-of-technical-staff-sandbox-platform-ff44059b","description":"OWN YOUR INTELLIGENCE\n\n\n\nPrime Intellect is building the open superintelligence stack: the infrastructure frontier AI labs build internally, made available to every ambitious AI team. \n\n\n\nOur platform, Lab, unifies compute, environments, evaluations, secure sandboxes, high-performance training, and deployment into one full-stack system for post-training at frontier scale - from SFT and RL to tool use, agent workflows, and continuously improving production models. We are building open frontier AI: open-source models trained end to end for long-horizon tasks like autonomous research, and the full-stack platform our own research team uses to build them. The next generation of AI companies, enterprises, and research teams do not just need more GPUs. They need the ability to turn their own workflows, tools, data, and feedback loops into superintelligence they own.\n\n\n\nPrime Intellect has raised $150M in total funding from Founders Fund, Radical Ventures, NVIDIA, and exceptional AI, infrastructure, and enterprise operators — including Andrej Karpathy, Dwarkesh Patel, and leaders and founders from Ramp, Perplexity, Harvey, Mercor, Zapier, Datadog, Cognition, OpenAI, Thinking Machines, Together AI, SemiAnalysis, LangChain, Browserbase, Cloudflare, Sierra, Databricks, Airbnb, OpenRouter, Standard Intelligence, Fleet, Core Auto, and more. We are looking for people who want to build at the intersection of frontier research, real infrastructure, and go-to-market for a category that does not fully exist yet.  \n\n\n\n\nCORE TECHNICAL RESPONSIBILITIES\n\nYou'll build the distributed control plane and node-level runtime behind our sandbox platform: placing workloads across bare-metal workers, launching secure microVMs, and making the entire lifecycle fast, efficient, and resilient to failure.\n\n - Build the control plane that places sandbox workloads efficiently across bare-metal CPU and GPU workers.\n\n - Build node-level execution systems that launch and supervise secure microVMs, coordinate storage and networking, and take sandboxes from assignment to ready execution.\n\n - Own the sandbox product surface, including its APIs, SDK, and CLI, and evolve it to support reinforcement learning and agentic workflows at scale.\n\n - Work closely with research, applied research, customers, and the broader engineering team to take problems from discovery through design, implementation, and production adoption. \n\n\n\n\nTECHNICAL REQUIREMENTS\n\n - You have 5+ years of experience building production distributed systems from the ground up.\n\n - You have strong systems programming experience. Production Go is a major advantage; Rust, C++, or comparable systems-language experience is also valued.\n\n - You are a high-agency engineer who can lead the design and implementation of high-performance, fault-tolerant systems.\n\n - You have strong Linux systems fundamentals and depth in at least one of virtualization, networking, storage, or workload isolation.\n\n - You enjoy going deep on systems performance, whether the bottleneck is memory behavior, concurrency, networking, or resource utilization.\n\n - You have built, deployed, and operated production systems at scale. \n\n\n\n\nWHAT WE OFFER\n\n - Cash compensation of $150-300k with significant equity incentives\n\n - Flexible work arrangements, with our San Francisco office preferred and remote work possible for exceptional candidates\n\n - Full visa sponsorship and relocation support\n\n - A professional development budget for courses and conferences\n\n - Regular team off-sites and conference attendance\n\n - The opportunity to shape core infrastructure for frontier AI research \n\n\n\n\nGROWTH OPPORTUNITY\n\nYou'll work alongside experienced engineers and researchers building core infrastructure for frontier AI research. You'll shape the sandbox platform that powers demanding reinforcement learning, evaluation, and agentic workloads, with opportunities to contribute to open-source infrastructure.\n\nOn a small, high-ownership team, you'll help set technical direction and engineering practices while moving quickly from decisions to shipped systems.\n\nWe value deep systems expertise and customer obsession. If you want to build foundational infrastructure from the control plane down to the node runtime, we want to talk to you.\n\nApply now and help build the systems behind the next generation of AI research.","salary_min":150000,"salary_max":300000,"location":"San Francisco, CA","workplace":"hybrid","remote_scope":"not_remote","job_type":"full-time","experience_level":"lead","tags":["agents","distributed-systems","reinforcement-learning","platform"],"apply_url":"https://jobs.ashbyhq.com/PrimeIntellect/26c41d54-f823-4aac-8fdf-4e78fc760184/application","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-09-23T17:20:12.976Z","expires_at":"2026-11-13T16:58:27.563092Z","created_at":"2026-05-10T14:11:00.913248Z","updated_at":"2026-10-14T16:58:27.567323Z","company_name":"Prime Intellect","company_slug":"PrimeIntellect","company_logo_url":"https://www.google.com/s2/favicons?domain=primeintellect.ai\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/e61519b6-b880-4ea2-8718-17b134db59b6"},{"id":"49d1b3c2-db07-4bcf-96a7-0b712a1e877b","company_id":"a4de8095-cb98-4b8b-9bfc-c2d248f257ea","title":"Manager, AI Platform Engineering","slug":"manager-ai-platform-engineering-a7aa0186","description":"At Ripple, we’re building a world where value moves like information does today. It’s big, it’s bold, and we’re already doing it. Through our crypto solutions for financial institutions, businesses, governments and developers, we are improving the global financial system and creating greater economic fairness and opportunity for more people, in more places around the world. And we get to do the best work of our career and grow our skills surrounded by colleagues who have our backs.  \n If you’re ready to see your impact and unlock incredible career growth opportunities, join us, and build real world value. \n Join Ripple Labs Inc. as the Manager, AI Platform Engineering in Chicago, IL, and spearhead our bold venture in AI platform development! This remarkable opportunity enables you to craft the future of our AI platform, GSmart, powering smart features across our enterprise treasury products. You will be involved in greenfield projects, bringing insight and focus to undefined problems. You will also work hand-in-hand with product and solution teams to convert customer challenges into fluid technical solutions.\n Responsibilities\n \n Own the AI platform roadmap and delivery end to end\n Ensure platform AI is measurable and dependable\n Work together with product and solution teams to address real customer challenges\n Enable teams to build on the platform and own their deliverables\n Hire, mentor, and grow the platform ai engineering team\n Stay actively involved and contribute to architecture and full-stack production code\n \n Requirements\n \n 7+ years of software engineering experience, including full-stack development and AI/ML platform infrastructure\n 2+ years of engineering management experience\n Strong full-stack development skills — front-end through back-end and APIs — with solid cloud infrastructure experience\n Experience operating AI systems in production\n Deep, current command of AI and modern LLM/GenAI infrastructure\n \n Join us and play a role in advancing the future growth of AI platform engineering at Ripple Labs Inc.!\n For positions that will be based in NY, the annual salary range for this position is below. Actual salaries may vary based on numerous factors including, among other things, an individual applicant’s experience and qualifications for the position. This range does not include equity or additional compensation, such as bonuses or commissions.  \n NY Annual Base Salary Range\n $200,000 — $250,000 USD \n \n WHO WE ARE: \n Do Your Best Work \n \n The opportunity to build in a fast-paced start-up environment with experienced industry leaders \n A learning environment where you can dive deep into the latest technologies and make an impact.  A professional development budget to support other modes of learning. \n Thrive in an environment where no matter what race, ethnicity, gender, origin, or culture they identify with, every employee is a respected, valued, and empowered part of the team. \n In-office collaboration for moments that matter is important to our culture, and we give managers and teams the flexibility to decide which 10+ days a month they come in.  \n Bi-weekly all-company meeting - business updates and ask me anything style discussion with our Leadership Team \n We come together for moments that matter which include team offsites, team bonding activities, happy hours and more! \n \n Take Control of Your Finances \n \n Competitive salary, bonuses, and equity \n Competitive benefits that cover physical and mental healthcare, retirement, family forming, and family support \n Employee giving match \n Mobile phone stipend \n \n Take Care of Yourself \n \n R\u0026R days so you can rest and recharge \n Generous wellness reimbursement and weekly onsite \u0026 virtual programming \n Generous vacation policy - work with your manager to take time off when you need it \n Industry-leading parental leave policies. Family planning benefits. \n Catered lunches, fully-stocked kitchens with premium snacks/beverages, and plenty of fun events \n \n Benefits listed above are for full-time employees.  \n \n Ripple is an Equal Opportunity Employer. We’re committed to building a diverse and inclusive team. We do not discriminate against qualified employees or applicants because of race, color, religion, gender identity, sex, sexual identity, pregnancy, national origin, ancestry, citizenship, age, marital status, physical disability, mental disability, medical condition, military status, or any other characteristic protected by local law or ordinance. \n Please find our California, UK/EU, Singapore, DIFC, ADGM, Australia, and Switzerland  Applicant Privacy Notice for reference.","salary_min":200000,"salary_max":250000,"location":"New York, NY","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["generative-ai","healthcare","llm","cloud","platform"],"apply_url":"https://ripple.com/careers/all-jobs/job/8129078?gh_jid=8129078","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-09-17T18:24:19Z","expires_at":"2026-11-13T16:59:24.137279Z","created_at":"2026-10-14T15:22:56.214779Z","updated_at":"2026-10-14T16:59:24.140208Z","company_name":"Ripple","company_slug":"ripple","company_logo_url":"https://www.google.com/s2/favicons?domain=ripple.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/49d1b3c2-db07-4bcf-96a7-0b712a1e877b"},{"id":"3af7d41e-e34a-430e-b0a6-23cf72389431","company_id":"a4de8095-cb98-4b8b-9bfc-c2d248f257ea","title":"Manager, AI Platform Engineering","slug":"manager-ai-platform-engineering-563dad6f","description":"At Ripple, we’re building a world where value moves like information does today. It’s big, it’s bold, and we’re already doing it. Through our crypto solutions for financial institutions, businesses, governments and developers, we are improving the global financial system and creating greater economic fairness and opportunity for more people, in more places around the world. And we get to do the best work of our career and grow our skills surrounded by colleagues who have our backs.  \n If you’re ready to see your impact and unlock incredible career growth opportunities, join us, and build real world value. \n Join Ripple Labs Inc. as the Manager, AI Platform Engineering in Chicago, IL, and spearhead our bold venture in AI platform development! This remarkable opportunity enables you to craft the future of our AI platform, GSmart, powering smart features across our enterprise treasury products. You will be involved in greenfield projects, bringing insight and focus to undefined problems. You will also work hand-in-hand with product and solution teams to convert customer challenges into fluid technical solutions.\n Responsibilities\n \n Own the AI platform roadmap and delivery end to end\n Ensure platform AI is measurable and dependable\n Work together with product and solution teams to address real customer challenges\n Enable teams to build on the platform and own their deliverables\n Hire, mentor, and grow the platform ai engineering team\n Stay actively involved and contribute to architecture and full-stack production code\n \n Requirements\n \n 7+ years of software engineering experience, including full-stack development and AI/ML platform infrastructure\n 2+ years of engineering management experience\n Strong full-stack development skills — front-end through back-end and APIs — with solid cloud infrastructure experience\n Experience operating AI systems in production\n Deep, current command of AI and modern LLM/GenAI infrastructure\n \n Join us and play a role in advancing the future growth of AI platform engineering at Ripple Labs Inc.!\n For positions that will be based in CA, the annual salary range for this position is below. Actual salaries may vary based on numerous factors including, among other things, an individual applicant’s experience and qualifications for the position. This range does not include equity or additional compensation, such as bonuses or commissions. \n CA Annual Base Salary Range\n $212,000 — $265,000 USD \n \n WHO WE ARE: \n Do Your Best Work \n \n The opportunity to build in a fast-paced start-up environment with experienced industry leaders \n A learning environment where you can dive deep into the latest technologies and make an impact.  A professional development budget to support other modes of learning. \n Thrive in an environment where no matter what race, ethnicity, gender, origin, or culture they identify with, every employee is a respected, valued, and empowered part of the team. \n In-office collaboration for moments that matter is important to our culture, and we give managers and teams the flexibility to decide which 10+ days a month they come in.  \n Bi-weekly all-company meeting - business updates and ask me anything style discussion with our Leadership Team \n We come together for moments that matter which include team offsites, team bonding activities, happy hours and more! \n \n Take Control of Your Finances \n \n Competitive salary, bonuses, and equity \n Competitive benefits that cover physical and mental healthcare, retirement, family forming, and family support \n Employee giving match \n Mobile phone stipend \n \n Take Care of Yourself \n \n R\u0026R days so you can rest and recharge \n Generous wellness reimbursement and weekly onsite \u0026 virtual programming \n Generous vacation policy - work with your manager to take time off when you need it \n Industry-leading parental leave policies. Family planning benefits. \n Catered lunches, fully-stocked kitchens with premium snacks/beverages, and plenty of fun events \n \n Benefits listed above are for full-time employees.  \n \n Ripple is an Equal Opportunity Employer. We’re committed to building a diverse and inclusive team. We do not discriminate against qualified employees or applicants because of race, color, religion, gender identity, sex, sexual identity, pregnancy, national origin, ancestry, citizenship, age, marital status, physical disability, mental disability, medical condition, military status, or any other characteristic protected by local law or ordinance. \n Please find our California, UK/EU, Singapore, DIFC, ADGM, Australia, and Switzerland  Applicant Privacy Notice for reference.","salary_min":212000,"salary_max":265000,"location":"San Francisco, CA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["llm","healthcare","generative-ai","cloud","platform"],"apply_url":"https://ripple.com/careers/all-jobs/job/8129066?gh_jid=8129066","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-09-17T18:24:10Z","expires_at":"2026-11-13T16:59:24.132402Z","created_at":"2026-10-14T15:22:56.210643Z","updated_at":"2026-10-14T16:59:24.135743Z","company_name":"Ripple","company_slug":"ripple","company_logo_url":"https://www.google.com/s2/favicons?domain=ripple.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/3af7d41e-e34a-430e-b0a6-23cf72389431"},{"id":"b67c81b2-d29b-49bb-8538-e16ab70d818f","company_id":"26618e2f-35c7-42eb-8f60-bd25a7e9a0d2","title":"Senior Machine Learning Platform Engineer - Identity","slug":"senior-machine-learning-platform-engineer-identity-89f9e14f","description":"Ready to do the most impactful work of your career? At  Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for \"good enough,\" you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.”  learn more about working at Coinbase .\n As a Senior Machine Learning Platform Engineer on the ML Platform team within the  Platform group, you'll build the foundational infrastructure that powers feature engineering, model training, and model serving across Coinbase. The platform you build supports fraud detection, user personalization, and blockchain analysis. You'll own critical systems spanning stream processing, distributed training, and highly available inference services, directly shaping how ML scales across the company.\n What You'll Do: \n \n Own the design and reliability of ML inference infrastructure serving both predictive models and LLMs, maintaining high availability and low latency at scale.\n Build and optimize low-latency streaming pipelines that deliver fresh, high-quality feature data to production ML models.\n Drive improvements to distributed training infrastructure, enabling ML engineers to process large data volumes efficiently.\n Develop observability tooling to monitor data quality entering models and detect degradations impacting model performance.\n Mentor junior engineers on building production-grade software, raising the team's engineering standards over time.\n \n Required Skills and Experience: \n \n 5+ years of industry experience as a software engineer, with demonstrated ownership of distributed systems in production environments.\n Built and operated low-latency data or ML infrastructure (streaming pipelines, online serving systems, or distributed training) processing data at scale.\n Track record of mentoring engineers and raising team engineering quality through code reviews, design reviews, and technical leadership.\n Familiarity with ML platform components (feature stores, model serving frameworks, training orchestration) sufficient to partner effectively with ML engineers as a platform builder.\n Utilizes generative AI responsibly, maintaining human oversight to deliver business-ready outputs and drive measurable improvements in workflow efficiency, cost, and quality.\n \n \n Pay Transparency Notice: Base salary varies by location (see range below). Total compensation may also include equity and bonus eligibility, and benefits (medical, dental, vision, 401(k)). \n  \n Annual base salary range (excluding equity and bonus):\n $191,250 — $225,000 USD \n \n Application Limit: Candidates may submit a maximum of 3 applications within a 6-month period.\n Equal Opportunity Employer: Coinbase is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or genetic information. Applicants with criminal histories will be considered consistent with applicable federal, state, and local laws. \n US Applicants: View Employee Rights , Know Your Rights , and E-Verify Notice of Participation. \n Accommodations: If you are an individual with a disability who needs a reasonable accommodation, email us your request and contact info at accommodations[at]coinbase.com. Need screen reading technology? Click here to download a free compatible screen reader and view the tutorial . \n Data Privacy \u0026 Arbitration: By submitting your application, you agree to our Candidate Privacy Notice . US applicants: By submitting your application, you agree to Arbitration of Disputes .","salary_min":191250,"salary_max":225000,"location":"Remote (US)","workplace":"remote","remote_scope":"restricted","job_type":"full-time","experience_level":"senior","tags":["distributed-systems","generative-ai","llm","mlops","machine-learning","platform"],"apply_url":"https://www.coinbase.com/careers/positions/8211490?gh_jid=8211490","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-09-17T18:06:33Z","expires_at":"2026-11-13T16:58:01.52389Z","created_at":"2026-10-14T15:21:41.446859Z","updated_at":"2026-10-14T16:58:01.527125Z","company_name":"Coinbase","company_slug":"coinbase","company_logo_url":"https://www.google.com/s2/favicons?domain=www.coinbase.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/b67c81b2-d29b-49bb-8538-e16ab70d818f"},{"id":"57d1cd4b-d690-4874-87f3-9545adfb386d","company_id":"10c1ac82-83d5-423a-b438-4cc7b13d597c","title":"Software Engineering Manager, AI Observability \u0026 Evals Platform","slug":"software-engineering-manager-ai-observability-evals-platform-1266eca9","description":"ABOUT US\n\n\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\nToday, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.\n\n\n\n\n\n\nABOUT THE TEAM\n\nThe LangSmith team owns and builds LangChain's core platform for observability, evaluation, and production reliability of AI systems. From tracing and annotation to run rules, evaluations, and beyond, this team owns LangSmith end-to-end. If you want to define what great AI observability looks like at production scale, this is where that work gets done.\n\n \n\n\nABOUT THE ROLE\n\nWe’re looking for an Engineering Manager to lead the team building LangSmith, our observability and evaluation platform for LLM applications. You’ll define the technical direction, grow and mentor a world-class engineering team, and partner with product and design to deliver features that help developers build and deploy trustworthy AI systems with confidence.\n\n \n\n\nWHAT YOU'LL DO\n\n - Build, mentor, and grow a high-performing team of engineers, fostering collaboration, ownership, and accountability\n\n - Strengthen LangChain’s engineering culture through mentorship, high-quality code, and technical excellence\n\n - Shape long-term technical direction and ensure scalability and reliability of LangSmith AI Observability Platform\n\n - Partner with product and design teams to define scope, sequence, and success criteria for key initiatives\n\n - Maintain a high bar for technical excellence while making sure the team moves with urgency and focus\n\n - Lead by example in writing clean, maintainable, and well-tested code in Go/Python and Typescript\n\n - Engage directly with customers to understand their needs and translate them into actionable product improvements\n\n \n\n\nWHAT YOU'LL BRING\n\n - Experience managing or tech-leading teams delivering complex full-stack products\n\n - Strong technical background in Go/Python and React/Typescript\n\n - Solid understanding of databases (Postgres, Redis and ClickHouse)\n\n - Proven ability to design high throughput data-intensive systems\n\n - Bias towards shipping quickly and learning from customers\n\n - Strong communication skills—able to collaborate with internal stakeholders and engage directly with customers\n\n - Bonus: Experience building AI/LLM-powered applications, developer tools, or observability platforms\n\n \n\nAnnual salary range: $220,000- $270,000\n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. \n\nWe are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.\n\n\n\n\nBENEFITS\n\nBenefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.","salary_min":220000,"salary_max":270000,"location":"Boston, MA","workplace":"hybrid","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["agents","llm","evaluation","platform"],"apply_url":"https://jobs.ashbyhq.com/langchain/f0396971-39fa-4d40-9af8-60e529bb6c86/application","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-09-11T03:09:29.305Z","expires_at":"2026-11-13T16:55:08.128321Z","created_at":"2026-09-12T13:32:07.979336Z","updated_at":"2026-10-14T16:55:08.131284Z","company_name":"LangChain","company_slug":"langchain","company_logo_url":"https://www.google.com/s2/favicons?domain=langchain.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/57d1cd4b-d690-4874-87f3-9545adfb386d"},{"id":"9aef4e94-97c7-4093-b7af-70480f5da27b","company_id":"a0000000-0000-0000-0000-000000000003","title":"Senior Software Engineer, Platform","slug":"senior-software-engineer-platform-18a8e936","description":"Scale is building reliable AI systems for the world’s most important decisions. Our products help leading enterprises, governments, and frontier AI labs build, deploy, and evaluate AI systems at scale.\n The Orchestration Platform is a core technology used across the company to run durable, reliable, and scalable workflows. It powers the complex, long-running processes behind Scale’s products - from data and model-evaluation pipelines to operational systems and customer-facing workflows.\n As a Senior Software Engineer, you will help build and evolve this foundational orchestration platform. You will design the primitives, services, and developer experience that enable teams across Scale to author, operate, observe, and safely scale distributed workflows. This is a high-leverage role for an engineer excited by distributed systems, reliability, and platform infrastructure used by many internal teams.\n You will:\n \n Lead the architecture, design, implementation, and operation of Scale’s core orchestration platform.\n Build durable workflow infrastructure using technologies such as Temporal, Cadence, Kubernetes, and cloud-native systems.\n Define platform primitives and APIs for scheduling, retries, state management, task execution, observability, and workflow lifecycle management.\n Partner with product, infrastructure, data, and application teams to understand workflow needs and turn them into reusable platform capabilities.\n Improve the reliability, scalability, security, and developer experience of services that run critical company workflows.\n Establish technical standards and best practices for distributed workflow development, deployment, testing, and incident response.\n Drive cross-functional technical decisions and communicate platform direction clearly to engineers and stakeholders.\n \n Ideally, you have:\n \n 5+ years of full-time software engineering experience, with a focus on backend, infrastructure, and distributed systems.\n Experience building and operating production systems with strong requirements for reliability, availability, and scale.\n Deep familiarity with workflow orchestration platforms such as Temporal, Cadence, AWS Step Functions, Kubernetes, or similar systems.\n Deep familiarity with Kubernetes and containerized production environments, and familiarity with Terraform, Docker.\n Strong knowledge of distributed-systems concepts, including asynchronous execution, retries, idempotency, fault tolerance, state management, and observability.\n A track record of leading technically complex projects from design through rollout and ongoing operation.\n Excellent communication skills and the ability to collaborate effectively with platform consumers and non-technical stakeholders.\n \n Nices to haves:\n \n Experience with data warehouses (Snowflake, Firebolt) and data pipeline/ETL tools (Dagster, dbt).\n Experience with authentication/authorization systems (Zanzibar, Authz, etc.)\n Experience scaling products at hyper-growth startups.\n Excitement to work with AI technologies.\n Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. \n Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:\n $216,000 — $270,000 USD \n PLEASE NOTE:  Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. \n About Us: \n At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst \u0026 Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government a","salary_min":216000,"salary_max":270000,"location":"San Francisco, CA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["cloud","data-pipeline","distributed-systems","platform"],"apply_url":"https://job-boards.greenhouse.io/scaleai/jobs/4730512005","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-09-03T18:53:30Z","expires_at":"2026-11-13T16:55:03.324331Z","created_at":"2026-09-04T13:31:34.270027Z","updated_at":"2026-10-14T16:55:03.327358Z","company_name":"Scale AI","company_slug":"scale-ai","company_logo_url":"https://www.google.com/s2/favicons?domain=scale.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/9aef4e94-97c7-4093-b7af-70480f5da27b"},{"id":"f14f7e06-beb3-4c13-ab57-c9011d97da6e","company_id":"47c8818e-9a45-4180-8d96-931d2774d36b","title":"Senior Software Engineer - Machine Learning Platform","slug":"senior-software-engineer-machine-learning-platform-34e43d2b","description":"About Upstart \n At Upstart, we’re united by a mission that matters: to radically reduce the cost and complexity of borrowing for all Americans. Every day, we bring creativity, experimentation, and advanced AI to reshape access to credit, helping millions move forward financially with clarity and confidence.\n As the leading AI lending marketplace, we partner with banks and credit unions to expand access to affordable credit through technology that’s both radically intelligent and deeply human. Our platform runs over one million predictions per borrower using more than 3,000 signals, powering smarter, fairer decisions for millions of customers. But the numbers only hint at the impact. Every idea, every voice, and every contribution moves us closer to a world where credit never stands between people and their financial progress.\n We’re proudly digital-first, giving most Upstarters the flexibility to do their best work from wherever they thrive, alongside teammates across 80+ cities in the US and Canada. Digital-first doesn’t mean distant. We’re intentional about in-person connection through team onsites, planning sessions, and moments that spark creativity and trust. And whether you choose to work primarily from home or collaborate in-person from one of our offices in Columbus, Austin, the Bay Area, or New York City, you’ll have the support to work in the way that works best for you.\n If you’re energized by tackling meaningful problems, excited to innovate with purpose, and motivated by work that truly matters, we’d love to hear from you.\n The Team:  \n The Machine Learning and Simulations Platform (MLSP) team builds and operates the core infrastructure that powers ML model training,feature engineering,  inference, and marketplace simulation at Upstart. Every underwriting, fraud, conversion, and verification model runs on this platform. We own the full production path: the data and features that feed a model, the infrastructure that serves it at decision time, the tooling that deploys it, and the simulation systems that predict business impact before a change goes live.\n We are reimagining that platform to keep pace with our ML teams. That work spans low latency and GPU model serving, self-service model deployment, a feature platform that gives ML one place to define and serve production features, and high fidelity marketplace simulation. The team partners closely with ML, Engineering, Product, Data Platform.\n As a Senior Software Engineer on the ML and Simulations Platform team at Upstart, you will be responsible for building an MLOps platform to support machine learning model inference, process automation, model deployment, and observability. Machine Learning is critical to Upstart’s core business, and our greatest competitive advantage lies in the fact that we’re able to innovate on our AI engine quickly. You will also help build a  marketplace simulation platform to support rapid innovation across ML and Finance teams.\n How you’ll make an impact\n \n Build, maintain, and optimize  Upstart’s next-generation machine learning and simulation platform, enabling increased scale, performance, and confidence in decisioning.\n Develop  high-quality software applications that enable machine learning models to be applied to the ever-evolving needs of the business\n Build self-service tooling so ML teams can register features and deploy models independently, and reduce the manual work the platform team absorbs today.\n Deliver the data and feature infrastructure behind every model, including feature definition, storage, serving, and offline to online parity.\n Design and contribute to  our simulation systems to more accurately reflect production environments, reducing simulation cost and enabling broader usage across teams.\n Communicate closely with cross-functional partners from  ML, Engineering, Product, and Data Engineering  teams, keeping all stakeholders informed\n Mentor engineers across the team, sharing expertise on distributed systems,MLOps,  and scalable architecture.\n \n Minimum Qualifications  \n \n 6+ years of software engineering experience.\n Experience building and maintaining backend software services and APIs.\n Experience with distributed systems or large scale data processing, using Spark, Databricks, Ray, or an equivalent.\n Experience with an ML platform or the ML production path, such as training pipelines, model serving, feature pipelines, or a training data platform.\n Proficiency with some or many of the following: Python, Kotlin, Databricks, and AWS.\n Exhibits a growth mindset. You pick up new technologies that fit the task, and you learn from others.\n Ability to quickly comprehend complex requirements from ML, product, or engineering leadership, and translate them for both technical and non-technical partners.\n \n Preferred Qualifications \n \n Skill with Metaflow, MLflow, gRPC, Spark/PySpark, dbt, Ray, GPU\n Knowledge of simulation, experimentation, or backtesting systems.\n ","salary_min":166900,"salary_max":230000,"location":"United States","workplace":"remote","remote_scope":"restricted","job_type":"full-time","experience_level":"senior","tags":["mlops","api-design","distributed-systems","machine-learning","platform"],"apply_url":"https://careers.upstart.com/jobs?gh_jid=8161883","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-08-27T16:22:50Z","expires_at":"2026-11-13T17:00:05.79496Z","created_at":"2026-08-29T13:46:50.095597Z","updated_at":"2026-10-14T17:00:05.798106Z","company_name":"Upstart","company_slug":"upstart","company_logo_url":"https://www.google.com/s2/favicons?domain=upstart.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/f14f7e06-beb3-4c13-ab57-c9011d97da6e"},{"id":"055b70f6-526b-40cc-8a87-2d740f2f1faf","company_id":"10c1ac82-83d5-423a-b438-4cc7b13d597c","title":"Senior Frontend Platform Engineer, Design Systems","slug":"senior-frontend-platform-engineer-design-systems-f0c95cfa","description":"ABOUT US\n\n\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\nToday, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.\n\n\n\n\n\n\nABOUT THE ROLE:\n\nThis role can be based remotely in the U.S.  Ideally SF, NYC, or Boston.\n\n\n\nLangChain is building the infrastructure that powers the next generation of AI applications. Our tools are used by thousands of developers and teams to build, debug, and ship production-grade LLM-powered products.\n\n\n\nAs our product surface area grows, so does the need for a cohesive, scalable, and high-quality UI foundation. That’s where Design Systems comes in. We’re looking for a Design Systems Engineer to help build, own, and evolve LangChain’s component library—the foundation that our frontend teams rely on to ship fast without sacrificing quality, accessibility, or consistency.\n\n\n\nThis role sits at the intersection of Design and Engineering. You’ll work closely with designers, product engineers, and platform teams to turn design intent into robust, reusable components and tooling that scale across the product.\n\n\n\nYou’ll have ownership, influence, and your work will be directly consumed across LangChain’s products.\n\n \n\n\nWHAT YOU'LL DO: \n\n\n\n - Build out LangChain’s component library\n   \n   - Design and implement reusable, composable React components that are flexible, accessible, and production-ready\n   \n   - Partner closely with designers to translate design systems, tokens, and interaction patterns into code\n\n - Build reliable UI quality systems\n   \n   - Develop design system tooling and improve workflows around theming, tokens, versioning, testing, and component discovery (e.g. Storybook)\n   \n   - Make thoughtful architectural decisions that enable accessibility, performance, consistency, and maintainability across LangChain’s UI stack\n\n - Improve UI build and test workflows\n   \n   - Optimize build performance, bundling strategy, and package versioning for the component library\n   \n   - Maintain tooling for testing, dependency management of the UI app\n\n\n\n\nWHAT YOU'LL BRING: \n\n - Extensive experience building modular, composable, and well-documented component libraries and/or design systems\n\n - Deep knowledge of React, TypeScript, HTML, and CSS, familiarity with: styling approaches (CSS Modules, CSS-in-JS, Tailwind, Sass, etc.) and design system toolings (Storybook, Chromatic, tokens pipelines, etc.)\n\n - Experience collaborating closely with designers and non-engineering partners\n\n - Strong attention to detail and a high bar for craft and genuine passion for accessibility and inclusive design\n\n - Familiarity with testing UI components and visual regression testing\n   \n   \n\nAnnual salary range: $180,000 - $240,000\n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. \n\nWe are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.\n\n\n\n\nBENEFITS\n\nBenefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.","salary_min":180000,"salary_max":240000,"location":"Remote (US)","workplace":"remote","remote_scope":"restricted","job_type":"full-time","experience_level":"senior","tags":["agents","llm","platform","frontend"],"apply_url":"https://jobs.ashbyhq.com/langchain/1b125fc4-be24-422f-a180-30b7431fc6cf/application","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-08-22T02:01:29.778Z","expires_at":"2026-11-13T16:55:07.938046Z","created_at":"2026-08-25T18:26:42.7441Z","updated_at":"2026-10-14T16:55:07.940961Z","company_name":"LangChain","company_slug":"langchain","company_logo_url":"https://www.google.com/s2/favicons?domain=langchain.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/055b70f6-526b-40cc-8a87-2d740f2f1faf"},{"id":"225d83ab-e3ab-4033-bae8-ba9e488b3294","company_id":"f36ec848-cb19-4b95-a680-6733e58086c0","title":"Senior Systems Engineer - Sensor Selection","slug":"senior-systems-engineer-sensor-selection-333c954f","description":"May Mobility is transforming cities through autonomous technology to create a safer, greener, more accessible world. Based in Ann Arbor, Michigan, May develops and deploys autonomous vehicles (AVs) powered by our innovative Multi-Policy Decision Making (MPDM) technology that literally reimagines the way AVs think. Our vehicles do more than just drive themselves - they provide value to communities, bridge public transit gaps and move people where they need to go safely, easily and with a lot more fun. We’re building the world’s best autonomy system to reimagine transit by minimizing congestion, expanding access and encouraging better land use in order to foster more green, vibrant and livable spaces. Since our founding in 2017, we’ve given more than 500,000 autonomous rides to real people around the globe. And we’re just getting started. We’re hiring people who share our passion for building the future, today, solving real-world problems and seeing the impact of their work. Join us. \n Job Summary \n The Senior Systems Engineer serves as the integrating function across the multi-disciplinary teams developing the Next Gen Autonomous Driving Kit, ensuring software, hardware, and product targets remain aligned throughout the development lifecycle. This role is responsible for producing polished requirements and specifications and for optimizing and negotiating trade-offs across the entire development process, Including with OEM partners. Complementing the unit-level testing already performed within the team, the Senior Systems Engineer owns systems integration and validation activities necessary to ensure program objectives are met as designed. This role also works to streamline the interfaces between system architects, controls, and OEM platform partners.\n Essential Responsibilities \n \n Leverage a system level understanding of our products and technologies to support cross-functional engineering efforts\n Act as the binding agent across multi-disciplinary teams, ensuring software, hardware, and product requirements and targets remain aligned across the ADK 6.0 program\n Own systems integration and validation activities to ensure the platform performs as designed, complementing unit-level testing performed within the team\n Define and develop metrics to verify that the system and its subsystems satisfy feature and system requirements\n Create and maintain requirement specifications by:\n \n Analyzing stakeholder, product, and safety requirements to define technical system and subsystem requirements\n Supporting system design activities, assessing impact and conformance to requirements\n Collaborating with test and validation team to define verification criteria for system requirements\n Reviewing legacy requirements to ensure completeness and correctness\n \n Develop and maintain requirements and specifications to a level of polish suitable for OEM partner collaboration\n Identify, negotiate, and resolve cross-functional trade-offs and conflicts across the entire development process, gaining buy-in from impacted teams\n Streamline interfaces between system architects, controls, and OEM platform partners\n Evaluate industry and regulatory requirements for applicability to May Mobility products\n Performing FMEA analysis, tracking findings to resolution\n Identify gaps in processes and propose solutions for resolution\n Follow safe work procedures; Use of appropriate personal protective equipment (PPE); Use of workplace tools and equipment as instructed; Report workplace hazards, injuries and illness as soon as possible.\n \n Skills and Abilities \n Success in this role typically requires the following competencies: \n \n Excellent written, verbal, and presentation skills\n Strong attention to detail and highly-organized\n Ability to multitask and adapt to shifting priorities in a fast-paced work environment\n Understanding of agile startup and engineering principles and mindset\n Ability to display systems thinking and attention to detail\n Detailed knowledge of requirements management and requirement-based design\n Demonstrated ability to lead system integration and validation across hardware and software domains\n Ability to influence, negotiate, and drive alignment across cross-functional teams and external partners\n Working knowledge of vehicle electrical/electronic (E/E) architecture and in-vehicle networking\n Curiosity to learn and desire to improve\n Passionate about self-driving cars and their impact on the world\n Strong working knowledge of ADAS/Autonomous Vehicle systems\n \n Qualifications and Experience \n Candidates most successful in this role typically hold the following qualifications or comparable knowledge or experience: \n Required \n \n Bachelor’s Degree from an accredited university\n 5+ years experience in automotive engineering working on software, hardware, or combined hardware/software products\n \n Desirable \n \n A Master’s degree in Engineering or equivalent experience\n Experience integrating and validating combi","salary_min":120000,"salary_max":140000,"location":"Ann Arbor, MI","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["autonomous-vehicles","healthcare","robotics","platform"],"apply_url":"https://job-boards.greenhouse.io/maymobility/jobs/8731010002","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-08-19T19:20:03Z","expires_at":"2026-11-13T17:02:54.068206Z","created_at":"2026-08-25T18:33:07.055065Z","updated_at":"2026-10-14T17:02:54.071199Z","company_name":"May Mobility","company_slug":"may-mobility","company_logo_url":"https://www.google.com/s2/favicons?domain=maymobility.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/225d83ab-e3ab-4033-bae8-ba9e488b3294"},{"id":"23fe823b-95c1-446d-b018-a15c91b187f9","company_id":"a4de8095-cb98-4b8b-9bfc-c2d248f257ea","title":"Manager, AI Platform Engineering","slug":"manager-ai-platform-engineering-7f8d721e","description":"At Ripple, we’re building a world where value moves like information does today. It’s big, it’s bold, and we’re already doing it. Through our crypto solutions for financial institutions, businesses, governments and developers, we are improving the global financial system and creating greater economic fairness and opportunity for more people, in more places around the world. And we get to do the best work of our career and grow our skills surrounded by colleagues who have our backs.  \n If you’re ready to see your impact and unlock incredible career growth opportunities, join us, and build real world value. \n Join Ripple Labs Inc. as the Manager, AI Platform Engineering in Chicago, IL, and spearhead our bold venture in AI platform development! This remarkable opportunity enables you to craft the future of our AI platform, GSmart, powering smart features across our enterprise treasury products. You will be involved in greenfield projects, bringing insight and focus to undefined problems. You will also work hand-in-hand with product and solution teams to convert customer challenges into fluid technical solutions.\n Responsibilities\n \n Own the AI platform roadmap and delivery end to end\n Ensure platform AI is measurable and dependable\n Work together with product and solution teams to address real customer challenges\n Enable teams to build on the platform and own their deliverables\n Hire, mentor, and grow the platform ai engineering team\n Stay actively involved and contribute to architecture and full-stack production code\n \n Requirements\n \n 7+ years of software engineering experience, including full-stack development and AI/ML platform infrastructure\n 2+ years of engineering management experience\n Strong full-stack development skills — front-end through back-end and APIs — with solid cloud infrastructure experience\n Experience operating AI systems in production\n Deep, current command of AI and modern LLM/GenAI infrastructure\n \n Join us and play a role in advancing the future growth of AI platform engineering at Ripple Labs Inc.!\n  \n For positions that will be based in IL, the annual salary range for this position is below. Actual salaries may vary based on numerous factors including, among other things, an individual applicant’s experience and qualifications for the position. This range does not include equity or additional compensation, such as bonuses or commissions. \n IL Annual Base Salary Range\n $200,000 — $250,000 USD \n \n WHO WE ARE: \n Do Your Best Work \n \n The opportunity to build in a fast-paced start-up environment with experienced industry leaders \n A learning environment where you can dive deep into the latest technologies and make an impact.  A professional development budget to support other modes of learning. \n Thrive in an environment where no matter what race, ethnicity, gender, origin, or culture they identify with, every employee is a respected, valued, and empowered part of the team. \n In-office collaboration for moments that matter is important to our culture, and we give managers and teams the flexibility to decide which 10+ days a month they come in.  \n Bi-weekly all-company meeting - business updates and ask me anything style discussion with our Leadership Team \n We come together for moments that matter which include team offsites, team bonding activities, happy hours and more! \n \n Take Control of Your Finances \n \n Competitive salary, bonuses, and equity \n Competitive benefits that cover physical and mental healthcare, retirement, family forming, and family support \n Employee giving match \n Mobile phone stipend \n \n Take Care of Yourself \n \n R\u0026R days so you can rest and recharge \n Generous wellness reimbursement and weekly onsite \u0026 virtual programming \n Generous vacation policy - work with your manager to take time off when you need it \n Industry-leading parental leave policies. Family planning benefits. \n Catered lunches, fully-stocked kitchens with premium snacks/beverages, and plenty of fun events \n \n Benefits listed above are for full-time employees.  \n \n Ripple is an Equal Opportunity Employer. We’re committed to building a diverse and inclusive team. We do not discriminate against qualified employees or applicants because of race, color, religion, gender identity, sex, sexual identity, pregnancy, national origin, ancestry, citizenship, age, marital status, physical disability, mental disability, medical condition, military status, or any other characteristic protected by local law or ordinance. \n Please find our California, UK/EU, Singapore, DIFC, ADGM, Australia, and Switzerland  Applicant Privacy Notice for reference.","salary_min":200000,"salary_max":250000,"location":"Chicago, IL","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["generative-ai","cloud","healthcare","llm","platform"],"apply_url":"https://ripple.com/careers/all-jobs/job/8129099?gh_jid=8129099","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-08-15T00:36:24Z","expires_at":"2026-11-13T16:59:24.127092Z","created_at":"2026-08-25T18:30:56.911133Z","updated_at":"2026-10-14T16:59:24.130296Z","company_name":"Ripple","company_slug":"ripple","company_logo_url":"https://www.google.com/s2/favicons?domain=ripple.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/23fe823b-95c1-446d-b018-a15c91b187f9"}],"page":1,"per_page":20,"total":233,"total_is_exact":true,"total_pages":12}