{"access":{"catalog_url":"https://aidevboard.com/api/v1/catalog","description":"Public read endpoints are open and free. 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Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk.\n Staff FullStack Engineer, AI Acceleration Team\n The AI Acceleration Team\n The AI Acceleration Team builds AI features right where identity and agents meet. Companies are handing real access to AI agents faster than their controls can keep up, and two problems show up first: how do you authorize what an agent is allowed to do on someone's behalf, and how do you keep both people and agents from being phished? We take those on directly.\n Our North Star: to get AI right, you have to get identity right. We are a new team, and we shape the problems as much as we solve them. We bring a product mindset to the work: we dig into what customers actually need, define the outcome, and build toward it. We move fast, stay close to the real problem, and are honest about what works.\n The Staff FullStack Engineer Opportunity\n As a Staff FullStack Engineer on the AI Acceleration Team, you will own the technical build for solving agent authorization and phishing resistance. You see what needs doing and start it. This is 0-to-1 work, meaning you will move on problems before they are fully specified, always keeping customer success as the ultimate bar.\n You will help shape which problems we take on, make architectural calls that outlive any single project, and set the technical bar for how we work. You will enforce least privilege for what agents can do and make phishing-resistant access the default. We build with Vercel and AWS, and you will likely work heavily in JavaScript/TypeScript and Java.\n What you'll be doing\n \n Solve core authorization challenges: Define how companies authorize agent actions and enforce least privilege for what an agent can do on a user's behalf.\n Design secure access: Build phishing-resistant authentication and authorization for both people and the agents acting for them.\n Shape the product: Bring a product mindset to dig into what customers need, define the desired outcomes, and build toward them rather than just executing solutions.\n Own the quality bar: Act as the voice for product and quality judgment in the room, taking ownership of the outcome, not just the code.\n Drive technical architecture: Make and defend architectural decisions on distributed systems and complex API integrations that will scale as the work grows.\n Modernize development: Advance how we use AI across our development lifecycle—how we design, review, and ship—and bring the rest of the team along with you.\n Coach and multiply: Raise the technical bar of the entire team, building judgment in others rather than trying to solve everything yourself.\n Improve engineering excellence: Spot and prioritize tech debt, driving improvements beyond feature work (CI/CD, observability, documentation, reliability, and support).\n Stay customer-aware: Build with a clear, direct line to the customer problem and the outcome you're solving for, even if you aren't in every customer conversation.\n \n What you'll bring to the role\n \n A self-starter mentality: The ability to spot what matters, drive work autonomously, and thrive in ambiguity while helping to form a new charter.\n Advanced AI tool proficiency: The ability to apply AI meaningfully across the software development lifecycle, evaluate new tooling with good judgment, and establish practices for the wider team.\n Architectural expertise: Proven experience defining scalable backend architectures and integrating complex APIs with modern web technologies, including making decisions with lasting, org-wide impact.\n Security fundamentals: A solid grasp of web authentication and authorization, including how auth flows work and how to secure sensitive user data.\n Backend proficiency: Deep expertise in building reliable, secure, enterprise-grade software in Java or another type-safe language.\n Frontend flexibility: High proficiency in JavaScript/TypeScript with true fullstack range, including the ability to ship robust frontends.\n Cloud infrastructure knowledge: Strong cloud architecture fundamentals, with experience designing and operating large-scale services on AWS.\n \n Extra credit\n \n Background working on a zero-to-one, startup-like team.\n Track record of leading a team through a real shift in how they work (e.g., AI adoption, new developer tooling, or cultural shifts).\n Familiarity with developing Identity and Access Management (IAM) tooling.\n \n P25594\n Below is the annual salary range for candidates located in Canada. Your actual salary will depend on factors such as your skills, quali","salary_min":160000,"salary_max":220000,"location":"Toronto, Canada","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"lead","tags":["distributed-systems","healthcare","agents","cloud","fullstack"],"apply_url":"https://www.okta.com/company/careers/opportunity/8165163?gh_jid=8165163","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-08-28T23:31:40Z","expires_at":"2026-09-29T13:39:37.203584Z","created_at":"2026-08-29T13:40:17.175916Z","updated_at":"2026-08-30T13:39:37.341538Z","company_name":"Okta","company_slug":"okta","company_logo_url":"https://www.google.com/s2/favicons?domain=okta.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/4a439361-6d5b-42c9-adff-208df6aad3bd"},{"id":"0c54ead2-210d-4e05-a166-bb1121ab4f00","company_id":"76c63eb7-c307-4322-8c2b-c20216feec49","title":"Software Engineer, Back-End (Pentest Platform)","slug":"software-engineer-back-end-pentest-platform-742ace88","description":"Get to Know Us\n\nHorizon3 http://Horizon3.ai is a fast-growing, remote cybersecurity company dedicated to the mission of enabling organizations to proactively find, fix and verify exploitable attack vectors before criminals exploit them. Our flagship product, the 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 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\n\nWHAT YOU'LL DO\n\nThe Pentest Data Platform team owns how NodeZero turns raw pentest telemetry into the findings, attack paths, reports, and insights our customers act on. As Horizon3 has grown in both customer count and customer size. Our team is taking on the largest architectural change in Horizon3's history: a ground-up rework of pentest data processing from a batch system into a real-time, event-driven microservice architecture.\n\nWe're laying the foundation to make Horizon3 best-in-class for enterprise pentests at scale — handling hundreds of thousands of hosts and streaming findings as they're discovered. Customers go from waiting weeks for insights to getting them in hours, fundamentally transforming how the entire product suite feels to use.\n\nThis work demands platform engineering to build the infrastructure foundation, paired with deep cybersecurity domain understanding to translate years of batch-centric business logic into real-time processing. As a Senior Engineer on this team, you will be one of the people we trust to own a hard piece of that rework end to end.\n\n\n\nIn this role, you will:\n\n - Design, build, and operate event-driven services that process pentest data in real time event streaming, stream processing, storage, schema evolution, and replayable processing.\n\n - Take ambiguous, high-impact problems from \"we need to solve this\" through design, implementation, rollout, and long-term operation, without needing the path drawn for you.\n\n - Help solve challenges around converting large per-pentest datasets, and converting that to a cohesive story over time. Tackling challenging problems such as understanding when two hosts are the same even with different IP addresses.\n\n - Translate existing batch-era logic — finding enrichment, attack path analysis, host and identity correlation, reporting — into streaming-friendly designs without regressing fidelity.\n\n - Solve genuinely hard distributed systems problems at scale: breaking out a half-decade hold monolithic data-storage for an engineering org that is rapidly growing in both scale of customers and number of engineering teams.\n\n - Set a high bar for operational excellence — SLOs, instrumentation, alerting, on-call, and incident response, as this system becomes central to every pentest Horizon3 runs.\n\n - Raise the technical bar around you through design reviews, technical writing, clear API contracts with neighboring teams, and durable decision records. Interface with other platform teams and attack-engineering teams.\n\n\n\n\nREQUIRED EDUCATION/EXPERIENCE\n\n - Minimum of 4+ years of experience in software engineering or a similar role.\n\n - Proficiency in Python and/or Go, including experience with large-scale codebases.\n\n - Production experience with relational databases (PostgreSQL) — schema design, migrations, and query performance at scale.\n\n - Experience building and operating services in AWS or a comparable cloud, with containers and orchestration (Docker, Kubernetes).\n\n - Hands-on experience with observability tooling (Datadog, OpenTelemetry, or similar) in production.\n\n - Bachelor's degree in Computer Science, Computer Engineering, or related field, or equivalent practical experience.\n\n\n\n\nDESIRED SKILLS\n\n - Production experience with event-driven architectures or streaming platforms (Kafka, Kinesis, Flink, or similar)\n\n - Experience with designing distributed systems at scale, AWS a bonus.\n\n - Experience migrating a meaningful system from batch to streaming, or decomposing a monolith into services, while it stayed live for customers.\n\n - Graph database experience (Neo4j) and graph data modeling and SQL.\n\n - Background in cybersecurity, pen","salary_min":199750,"salary_max":235000,"location":"Remote (US)","workplace":"hybrid","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["distributed-systems","security","cloud","microservices","backend"],"apply_url":"https://jobs.ashbyhq.com/horizon3ai/7ba09c64-7d14-43c1-9f0a-fcf2d8449857/application","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-08-28T15:24:01.299Z","expires_at":"2026-09-29T13:36:43.432038Z","created_at":"2026-08-29T13:37:07.759091Z","updated_at":"2026-08-30T13:36:43.571069Z","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/0c54ead2-210d-4e05-a166-bb1121ab4f00"},{"id":"1edaacf5-142d-4d7d-bca8-60df2de49655","company_id":"fe4d898e-86f1-400e-95db-988d7f632620","title":"Sr. Software Engineer, AI","slug":"sr-software-engineer-ai-29348a1b","description":"Navan is building the next generation of intelligent travel experiences, where loyalty, personalization, and AI agents help travelers make better decisions before, during, and after every trip. As a Senior Software Engineer, AI on the Loyalty Wallet team, you’ll build agentic product experiences that understand a traveler’s loyalty programs, surface useful insights, and safely help users manage their memberships through Navan Edge.\n What You’ll Do: \n \n Build AI-Powered Product Experiences: Design and develop agentic workflows that help users view, understand, connect, and manage their loyalty programs through chat, wallet surfaces, and personalized recommendations.\n Develop Production AI Systems: Build reliable LLM-powered flows with structured outputs, tool calling, guardrails, human confirmation, evals, and monitoring for real customer-facing use cases.\n Own Agent and Workflow Quality: Create and maintain scenario tests, adversarial evals, prompt/tool contracts, and quality metrics that ensure agents behave safely around loyalty data, PII, financial guidance, and unsupported requests.\n Integrate Across the Stack: Work across frontend, backend, and AI orchestration layers, including wallet APIs, streaming chat experiences, UI components, data services, and ML/LLM workflows.\n Turn Data Into Personalization: Help transform loyalty balances, tier progress, membership data, connected email signals, and trip context into useful recommendations and next-best actions.\n Collaborate Cross-Functionally: Partner closely with product, design, backend, data, and platform teams to ship polished, measurable customer experiences.\n Raise the Engineering Bar: Champion maintainable code, thoughtful abstractions, strong tests, observability, documentation, and operational ownership.\n \n What We’re Looking For: \n \n 6+ years of software engineering experience building production systems, with meaningful hands-on experience in AI, LLM, agent, workflow, or ML-powered products.\n Experience building agentic systems, tool-calling workflows, RAG-like systems, structured LLM outputs, eval pipelines, or AI assistants in production.\n Strong engineering fundamentals in TypeScript/Node.js, Java, Python, or similar backend/product engineering stacks.\n Experience with distributed systems, APIs, async workflows, caching, observability, and production debugging.\n Comfort working with AI safety patterns such as guardrails, HITL confirmation, deterministic tool boundaries, hallucination prevention, and PII-sensitive workflows.\n Product mindset and ability to translate ambiguous user needs into robust, user-facing experiences.\n Strong ownership mentality, with the ability to ship, measure, iterate, and support features after release.\n Experience with travel, loyalty programs, personalization, fintech, or consumer data products is a strong plus.\n Bachelor’s or Master’s degree in Computer Science, Engineering, or related field, or equivalent hands-on experience.\n \n  \n The posted pay range represents the anticipated low and high end of the compensation for this position and is subject to change based on business need. To determine a successful candidate’s starting pay, we carefully consider a variety of factors, including primary work location, an evaluation of the candidate’s skills and experience, market demands, and internal parity. For roles with on-target-earnings (OTE), the pay range includes both base salary and target incentive compensation. Target incentive compensation for some roles may include a ramping draw period. Compensation is higher for those who exceed targets. Candidates may receive more information from the recruiter.\n Pay Range\n $113,400 — $252,000 USD \n  \n Navan uses AI-assisted Automated Employment Decision Tool (Metaview) to assist with evaluating resumes against job qualifications for this role. All final decisions are made by human recruiters and hiring managers. \n Human oversight:   Metaview does not automatically reject candidates or make final hiring decisions. Our recruiters and hiring managers review all outputs and make the final hiring decision regarding every application.  \n \n \n Your rights: If you prefer to have your application reviewed without AI assistance, you may request a human evaluation by entering your email here . Your decision to do so will not affect how your candidacy is evaluated. \n \n Please refer to our Candidate Privacy Notice for more information about our processing of personal data, and your rights.","salary_min":113400,"salary_max":252000,"location":"New York, NY","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["llm","agents","alignment","payments","distributed-systems"],"apply_url":"https://navan.com/careers/openings?gh_jid=8147410","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-08-28T12:55:34Z","expires_at":"2026-09-29T13:48:43.262476Z","created_at":"2026-08-29T13:50:14.443001Z","updated_at":"2026-08-30T13:48:43.396633Z","company_name":"Navan","company_slug":"navan","company_logo_url":"https://www.google.com/s2/favicons?domain=navan.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/1edaacf5-142d-4d7d-bca8-60df2de49655"},{"id":"130278d1-56fd-43d0-bd53-bc36938ae400","company_id":"e455f75a-a424-4955-9844-afebe8ea6eb4","title":"Staff Fullstack Engineer, AI Acceleration Team","slug":"staff-fullstack-engineer-ai-acceleration-team-bbf7616e","description":"Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk.\n Staff FullStack Engineer, AI Acceleration Team\n The AI Acceleration Team\n The AI Acceleration Team builds AI features right where identity and agents meet. Companies are handing real access to AI agents faster than their controls can keep up, and two problems show up first: how do you authorize what an agent is allowed to do on someone's behalf, and how do you keep both people and agents from being phished? We take those on directly.\n Our North Star: to get AI right, you have to get identity right. We are a new team, and we shape the problems as much as we solve them. We bring a product mindset to the work: we dig into what customers actually need, define the outcome, and build toward it. We move fast, stay close to the real problem, and are honest about what works.\n The Staff FullStack Engineer Opportunity\n As a Staff FullStack Engineer on the AI Acceleration Team, you will own the technical build for solving agent authorization and phishing resistance. You see what needs doing and start it. This is 0-to-1 work, meaning you will move on problems before they are fully specified, always keeping customer success as the ultimate bar.\n You will help shape which problems we take on, make architectural calls that outlive any single project, and set the technical bar for how we work. You will enforce least privilege for what agents can do and make phishing-resistant access the default. We build with Vercel and AWS, and you will likely work heavily in JavaScript/TypeScript and Java.\n What you'll be doing\n \n Solve core authorization challenges: Define how companies authorize agent actions and enforce least privilege for what an agent can do on a user's behalf.\n Design secure access: Build phishing-resistant authentication and authorization for both people and the agents acting for them.\n Shape the product: Bring a product mindset to dig into what customers need, define the desired outcomes, and build toward them rather than just executing solutions.\n Own the quality bar: Act as the voice for product and quality judgment in the room, taking ownership of the outcome, not just the code.\n Drive technical architecture: Make and defend architectural decisions on distributed systems and complex API integrations that will scale as the work grows.\n Modernize development: Advance how we use AI across our development lifecycle—how we design, review, and ship—and bring the rest of the team along with you.\n Coach and multiply: Raise the technical bar of the entire team, building judgment in others rather than trying to solve everything yourself.\n Improve engineering excellence: Spot and prioritize tech debt, driving improvements beyond feature work (CI/CD, observability, documentation, reliability, and support).\n Stay customer-aware: Build with a clear, direct line to the customer problem and the outcome you're solving for, even if you aren't in every customer conversation.\n \n What you'll bring to the role\n \n A self-starter mentality: The ability to spot what matters, drive work autonomously, and thrive in ambiguity while helping to form a new charter.\n Advanced AI tool proficiency: The ability to apply AI meaningfully across the software development lifecycle, evaluate new tooling with good judgment, and establish practices for the wider team.\n Architectural expertise: Proven experience defining scalable backend architectures and integrating complex APIs with modern web technologies, including making decisions with lasting, org-wide impact.\n Security fundamentals: A solid grasp of web authentication and authorization, including how auth flows work and how to secure sensitive user data.\n Backend proficiency: Deep expertise in building reliable, secure, enterprise-grade software in Java or another type-safe language.\n Frontend flexibility: High proficiency in JavaScript/TypeScript with true fullstack range, including the ability to ship robust frontends.\n Cloud infrastructure knowledge: Strong cloud architecture fundamentals, with experience designing and operating large-scale services on AWS.\n \n Extra credit\n \n Background working on a zero-to-one, startup-like team.\n Track record of leading a team through a real shift in how they work (e.g., AI adoption, new developer tooling, or cultural shifts).\n Familiarity with developing Identity and Access Management (IAM) tooling.\n \n P25592\n Below is the annual salary range for candidates located in Canada. Your actual salary will depend on factors such as your skills, quali","salary_min":160000,"salary_max":220000,"location":"Toronto, Canada","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"lead","tags":["healthcare","distributed-systems","cloud","agents","fullstack"],"apply_url":"https://www.okta.com/company/careers/opportunity/8109399?gh_jid=8109399","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-08-27T20:41:56Z","expires_at":"2026-09-29T13:39:37.302166Z","created_at":"2026-08-29T13:40:17.273768Z","updated_at":"2026-08-30T13:39:37.440039Z","company_name":"Okta","company_slug":"okta","company_logo_url":"https://www.google.com/s2/favicons?domain=okta.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/130278d1-56fd-43d0-bd53-bc36938ae400"},{"id":"7aa92365-6b3e-4f51-a168-2674aa7d8a06","company_id":"76c63eb7-c307-4322-8c2b-c20216feec49","title":"Senior Data Infrastructure Engineer","slug":"senior-data-infrastructure-engineer-96f0f9f8","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\nWe are seeking a Senior Data Infrastructure Engineer to design, build, and own the data platform underneath our business-critical pipelines. Today the team supports account provisioning, product analytics, and the pipelines feeding our warehouse and Tableau reporting. You will help expand this into a globally deployed data platform spanning the warehouse, orchestration, and BI across multiple regions\n\nWhat You’ll Do\n\n - Design, build, and maintain business-critical data pipelines, including data ingestion and AWS Glue/Spark jobs feeding the warehouse and Tableau.\n\n - Build and operate core data infrastructure: the data warehouse, orchestration, and BI/reporting platform, deployed across multiple regions.\n\n - Help evaluate and shape our warehouse strategy, including lakehouse platforms such as Databricks.\n\n - Define and evolve event-driven contracts between producer and consumer teams, reasoning through batch vs. streaming, CDC, reprocessing, and multi-tenant/multi-region trade-offs.\n\n - Design and evolve warehouse schemas and data models.\n\n - Build observability into pipelines and platform components.\n\n - Drive work across producer and consumer teams, communicate clearly, and own outcomes end to end.\n\nWhat You’ll Bring\n\n - Strong software engineering craft: clean, correct, maintainable code with solid data-structure and problem-solving fundamentals.\n\n - Deep understanding of distributed systems and data architecture: pipeline and platform design, batch vs. streaming, CDC, event contracts, multi-tenant and multi-region trade-offs, reprocessing, and observability.\n\n - Fluent SQL and strong data-modeling skills, including designing schemas for a warehouse your team owns.\n\n - Experience owning production data infrastructure end to end.\n\n - Strong collaboration and ownership across dependent teams.\n\n - 7+ years of professional experience in data engineering, infrastructure engineering, or backend software engineering.\n\n - Bachelor’s degree in Computer Science or a related field, or equivalent practical experience.\n\n\n\nRequired Tech Stack Experience\n\n - AWS data stack, including Glue and Spark.\n\n - Cloud data warehouse or lakehouse platforms such as Amazon Redshift or Databricks.\n\n - Tableau or a comparable BI platform.\n\n - SQL and Python.\n\n - Workflow orchestration tooling such as Apache Airflow or Dagster\n\n \n\nPerks of Horizon3\n\n - Inclusive Team: We value diversity and promote an inclusive culture where everyone can thrive.\n\n - Growth Opportunities: Be part of a dynamic and growing team with numerous career development opportunities.\n\n - Innovative Culture: Work in a collaborative environment that encourages creativity and out-of-the-box thinking.\n\n - Hybrid \u0026 Remote Work: We embrace a mix of remote and hybrid work models depending on role and location, including our Chicago office, where some roles require regular in-office presence.\n\n - Competitive Compensation: We offer competitive salary, equity and benefits. Our benefits include health, vision \u0026 dental insurance for you and your family, a flexible vacation policy, and generous parental leave.\n\n\n\nCompensation and Values\n\nAt Horizon3, we believe that our people are our greatest asset, and our compensation philosophy reflects this core value. We are committed to fostering an environment where all employees feel valued, respected, and rewarded for their contributions. Our compensation structure is designed to be fair, competitive, and transparent, ensuring that every team member is recognized and compensated equitably across roles, levels, and locations.\n\nIn accordance with various State’s transparency regulations, we provide the following salary range information for this position:\n\n - Base salary range: $202,190 - $237,870 annually. The exact salary will be determined based on","salary_min":202190,"salary_max":237870,"location":"Remote (US)","workplace":"hybrid","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["data-pipeline","cloud","distributed-systems","security","infrastructure"],"apply_url":"https://jobs.ashbyhq.com/horizon3ai/4651e6b3-a8b5-484f-ac87-5b6ca04581d1/application","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-08-27T16:58:31.284Z","expires_at":"2026-09-29T13:36:43.052847Z","created_at":"2026-08-29T13:37:07.314282Z","updated_at":"2026-08-30T13:36:43.188509Z","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/7aa92365-6b3e-4f51-a168-2674aa7d8a06"},{"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 (opening Summer 2026), 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 ","salary_min":166900,"salary_max":230000,"location":"United States","workplace":"remote","remote_scope":"restricted","job_type":"full-time","experience_level":"senior","tags":["api-design","mlops","distributed-systems","platform","machine-learning"],"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":"2026-09-29T13:45:21.136887Z","created_at":"2026-08-29T13:46:50.095597Z","updated_at":"2026-08-30T13:45:21.267566Z","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":"8d909b3d-3eac-45d3-8804-379bc82bc41b","company_id":"fa25a1f6-acd0-42b6-a229-f4d258ed5c3d","title":"Senior Software Engineer","slug":"senior-software-engineer-91b56607","description":"Employee Applicant Privacy Notice \n Who we are: \n \n Shape a brighter financial future with us.\n Together with our members, we’re changing the way people think about and interact with personal finance.\n We’re a next-generation financial services company and national bank using innovative, mobile-first technology to help our millions of members reach their goals. The industry is going through an unprecedented transformation, and we’re at the forefront. We’re proud to come to work every day knowing that what we do has a direct impact on people’s lives, with our core values guiding us every step of the way. Join us to invest in yourself, your career, and the financial world. \n Social Finance, LLC seeks Senior Software Engineer in San Francisco, CA: \n Job Duties: Lead the development and testing of system components/services, code and design reviews. Participate in shaping the technical architecture of the product. Help translate product requirements into user stories and technical solutions. Delivery highly available and scalable services in a production environment. Mentor other engineers, support the technical culture, and help grow the team. Generate ideas for new initiatives and technologies. Communicate with project leads, production managers and other software developers. Part-time telecommuting is an option. Hybrid work from Social Finance offices in San Francisco, CA. \n Requirements: Seven (7) years of experience in the job offered or in a related occupation.\n Special Skill Requirements:  \n \n 48 months of experience in: programming experience utilizing a modern technology stack using ReAct, graphQL, springboot, Airflow, Zookeeper, Terraform, Kafka and Flink. \n 48 months of experience in: Java, Kotlin, Python and JavaScript in-memory data structures, SQL and NoSQL database design. \n Service-Oriented Architecture (SOA) or microservice based application environment using Docker, Kubernetes and AWS Fargate. \n  AI terminologies, including Large Language Models (LLM) usage in agent development using AWS Bedrocks and Spring AI. \n  modern CI-CD and collaborative coding environments, including using Git for version control, code reviews, and terraform, AWS CDK for continuous development \n sophisticated testing systems for distributed systems at scale using JUnit. \n Operational excellence practices and using monitoring tools, including DataDog or AWS Cloudwatch. \n driving digital transformation initiatives through large-scale service migrations and tech stack modernization using feature gating mechanisms like Optimizely. \n \n Any suitable combination of education, training and/or experience is acceptable. Part-time telecommuting is an option. Hybrid work from Social Finance offices in San Francisco, CA. \n Salary: $221,187.00 - $243,305.00 per year.   \n Submit resume with references using the apply button on this posting or by email to: Req.# 1014.513.7  at: ATTN: HR, jobadverts@sofi.org .\n  \n  \n #LI-DNI\n Compensation and Benefits \n The base pay range for this role is listed below. Final base pay offer will be determined based on individual factors such as the candidate’s experience, skills, and location. \n  \n To view all of our comprehensive and competitive benefits, visit our  Benefits at SoFi   page!\n SoFi provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion (including religious dress and grooming practices), sex (including pregnancy, childbirth and related medical conditions, breastfeeding, and conditions related to breastfeeding), gender, gender identity, gender expression, national origin, ancestry, age (40 or over), physical or medical disability, medical condition, marital status, registered domestic partner status, sexual orientation, genetic information, military and/or veteran status, or any other basis prohibited by applicable state or federal law. \n The Company hires the best qualified candidate for the job, without regard to protected characteristics. \n Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. \n New York applicants: Notice of Employee Rights \n SoFi is committed to an inclusive culture. As part of this commitment, SoFi offers reasonable accommodations to candidates with physical or mental disabilities. If you need accommodations to participate in the job application or interview process, please let your recruiter know or email accommodations@sofi.com. \n Due to insurance coverage issues, we are unable to accommodate remote work from Hawaii or Alaska at this time. \n Internal Employees \n If you are a current employee, do not apply here - please navigate to our Internal Job Board in Greenhouse to apply to our open roles.","salary_min":221187,"salary_max":243305,"location":"Add ALL locations here","workplace":"hybrid","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["microservices","distributed-systems","llm","api-design","cloud","infrastructure"],"apply_url":"https://sofi.com/careers/job/7978419003?gh_jid=7978419003","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-08-26T17:01:48Z","expires_at":"2026-09-29T13:48:49.042774Z","created_at":"2026-08-27T13:49:22.930166Z","updated_at":"2026-08-30T13:48:49.170491Z","company_name":"SoFi","company_slug":"sofi","company_logo_url":"https://www.google.com/s2/favicons?domain=sofi.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/8d909b3d-3eac-45d3-8804-379bc82bc41b"},{"id":"1a525cd5-6fd1-4af5-be1b-eaa2a3e7709e","company_id":"e3915539-5a8f-4461-9f26-06366a918674","title":"Senior ML Engineer, Core Development","slug":"senior-ml-engineer-core-development-94a264b5","description":"Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century’s most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril’s family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years.\n Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the  expertise , technology, and business model of the 21st century’s most innovative companies to the defense industry, Anduril is changing how military systems are designed,  built  and sold. Anduril’s family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a  realtime , 3D  command  and control center. As the world enters an era of strategic competition, Anduril is committed to bringing  cutting-edge  autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years.   \n About the Team:   Air Dominance \u0026 Strike designs, builds, and flies autonomous air vehicles—from  collaborative combat aircraft to expendable cruise missiles and counter-UAS  interceptors. Our vehicles move from whiteboard to first flight on timelines that  traditional primes consider impossible, which means our design cycles live or die  on how fast we can close the iteration loop. The Anduril AI Engineering team  exists to collapse that loop.    \n We are engineers first. We work from engineering first principles and unlock capability through machine learning and AI. We are building to scale across CFD, FEA, thermal, and electromagnetics, with pipelines, architectures, and validation practices that carry across programs.   \n   About the Job   We are looking for a Machine Learning Engineer to apply the latest research in  physics ML to the toughest bottlenecks in our design cycle. This role owns the  entire surrogate modeling stack for Air Dominance \u0026 Strike—the architectures,  the training infrastructure, the simulation data pipelines that feed it, and the  tooling design engineers use to consume predictions.    \n   You will develop, train, and deploy surrogate models that accelerate the physics simulations underpinning our air vehicle programs. Working alongside aerodynamicists, structures engineers, and thermal engineers, your models will directly inform decisions on hardware that actually flies. Where current methods fall short, you will develop new ones, with ample room to identify novel applications of physics ML across our portfolio.    \n   Defense experience is not required. We are looking for engineers who came to machine learning through the complex physical problems they were already trying to solve.    \n   This role is based onsite in our Costa Mesa, CA office.   \n   What You'll Do   \n \n Own the Surrogate Modeling Stack:  Drive the end-to-end design, training, and deployment of production-grade surrogate models to accelerate critical simulation workflows (CFD, FEA, thermal, structural, and aeroelastic) across air vehicle design.   \n Develop State-of-the-Art Architectures:  Design and implement neural architectures tailored to engineering physics, developing new techniques for uncertainty quantification, active learning, and inverse problems (such as geometry and shape optimization).   \n Build Robust Data \u0026 Training Infrastructure:  Create the pipelines behind the training—extracting, aggregating, and sanitizing tens of thousands of high-fidelity results from solver outputs.   \n Optimize \u0026 Integrate:  Optimize inference for the design loop (maximizing GPU utilization, batched evaluation, and interactive-speed latency) and seamlessly integrate surrogate predictions into the tooling our domain engineers already use.   \n Collaborate \u0026 Mentor:  Partner with domain engineers to identify where ML delivers the highest leverage, stay current with Physics AI research, and provide technical mentorship to non ML engineers.   \n \n Qualifications   \n \n Education:  BS, MS, or PhD in aerospace, thermal, mechanical, or electrical engineering, or in machine learning/AI/data science with a demonstrated engineering foundation.   \n Experience:  3+ years of experience taking ML models from R\u0026D into production using large-scale scientific or engineering datasets.   \n Physics ML Expertise:  Working knowledge of modern surrogate architectures (e.g. GNNs, Transolver, DoMINO \u0026 GeoTransolver) comb","salary_min":220000,"salary_max":292000,"location":"Costa Mesa, CA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["payments","tensorflow","distributed-systems","computer-vision","data-pipeline","pytorch","mlops","machine-learning"],"apply_url":"https://boards.greenhouse.io/andurilindustries/jobs/5216691007?gh_jid=5216691007","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-08-26T15:59:24Z","expires_at":"2026-09-29T13:37:22.907369Z","created_at":"2026-08-27T13:37:38.482223Z","updated_at":"2026-08-30T13:37:23.045327Z","company_name":"Anduril","company_slug":"anduril","company_logo_url":"https://www.google.com/s2/favicons?domain=anduril.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/1a525cd5-6fd1-4af5-be1b-eaa2a3e7709e"},{"id":"479ee1e5-bda5-4253-9664-0645a438ac86","company_id":"5d6de1f6-4d6c-463b-8a2b-a5caeadb97b4","title":"Senior Software Engineer - Airflow Infrastructure, NYC","slug":"senior-software-engineer-airflow-infrastructure-nyc-7ce717b7","description":"Astronomer empowers data teams to bring mission-critical software, analytics, and AI to life and is the company behind Astro, the industry-leading unified DataOps platform powered by Apache Airflow®. Astro accelerates building reliable data products that unlock insights, unleash AI value, and powers data-driven applications. Trusted by more than 800 of the world's leading enterprises, Astronomer lets businesses do more with their data. To learn more, visit  www.astronomer.io http://www.astronomer.io.\n\n\nABOUT THIS ROLE:\n\nAt Astronomer, we’re redefining how companies run Apache Airflow at scale. Our R\u0026D organization is home to some of the most innovative minds in cloud infrastructure and open-source software. \n\nWe’re looking for a Senior Software Engineer to join our Airflow Infra team, part of Astro, our flagship cloud platform. You’ll be building the critical layer that connects the open-source Airflow ecosystem to enterprise-grade, massively scalable cloud infrastructure. Your work will directly influence how global organizations orchestrate data pipelines at scale—making them faster, more reliable, and easier to manage.\n\nIf you’re driven by impact, excited by scale, and ready to work on the kind of infrastructure challenges that push the boundaries of what’s possible in cloud-native systems, this is the opportunity you’ve been waiting for.\n\n\n\nHybrid Work Model: For this role, you will embrace a flexible hybrid work model with at least 3 days per week in our New York City office.\n\n\n\n\nWHAT YOU GET TO DO:\n\n - Engineer backend services with high quality, maintainable and well tested code.\n\n - Partner with other engineers, product, customer reliability support, and leadership to achieve business goals and define how our systems should evolve.\n\n - Regularly engage in code reviews and provide constructive feedback.\n\n - Optimize the performance, reliability and scalability of existing backend services.\n\n - Investigate, prototype and propose ideas to improve user experience.\n\n - Create and maintain technical documentation for systems and processes, ensuring clarity and accessibility.\n\n - Participate in on-call rotation, troubleshoot and debug to solve incidents.\n\n\n\n\nWHAT YOU BRING TO THE ROLE:\n\n - 5+ years of experience building and delivering SaaS products.\n\n - Strong proficiency in Python or Golang.\n\n - Hands-on experience with Kubernetes.\n\n - Solid understanding of and experience with integrating with RESTful APIs and distributed systems.\n\n - Comfortable with testing frameworks, such as pytest.\n\n - Strong communication skills, both written and verbal, with experience in creating technical specifications.\n\n - A passion for reliability and operational excellence.\n\n - Ability to scope work and coordinate cross-functionally to address risks and ensure successful delivery.\n\n - Experience with software development best practices, such as code reviews, testing, CI/CD, version control, automation and debugging.\n\n - Ability to adjust to change and rapid pace of development.\n\n - Proactive approach to identifying and addressing issues, with a focus on ownership and accountability.\n\n\n\n\nBONUS POINTS IF YOU HAVE:\n\n - Experience with Apache Airflow\n\n\n\nThe estimated salary for this role ranges from $210,000 - $250,000 based on leveling and geography, along with an equity component and a comprehensive benefits package. This range is merely an estimate; actual compensation may deviate from this range based on skills, experience, and qualifications.\n\n\n\n#LI-Fulltime\n\n#LI-Hybrid\n\n\n\nAt Astronomer, we value diversity. We are an equal opportunity employer: we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.","salary_min":210000,"salary_max":250000,"location":"New York, NY","workplace":"hybrid","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["cloud","data-pipeline","distributed-systems","infrastructure"],"apply_url":"https://jobs.ashbyhq.com/astronomer/c02288d2-e50a-4ef0-8151-c5d3f6c333af/application","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-08-26T08:14:31.454Z","expires_at":"2026-09-29T13:47:15.068812Z","created_at":"2026-08-26T13:47:11.32077Z","updated_at":"2026-08-30T13:47:15.197828Z","company_name":"Astronomer","company_slug":"astronomer","company_logo_url":"https://www.google.com/s2/favicons?domain=astronomer.io\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/479ee1e5-bda5-4253-9664-0645a438ac86"},{"id":"44046e1e-69ad-4692-9110-7bb87edaadaf","company_id":"43dd17db-bec3-4ebb-a432-f71d57a9aa47","title":"Staff Software Engineer, Imaging","slug":"staff-software-engineer-imaging-4ba96095","description":"THE OPPORTUNITY\n\ninsitro is a physical AI company dedicated to unlocking causal human biology and accelerating the delivery of better medicines to patients. Our unique Virtual Human™ platform identifies novel, high-impact genetic intervention points, which our TherML™ platform translates into therapeutics—whether small molecules, biologics, or oligos. With multiple programs in metabolic disease and neuroscience advancing toward the clinic, and our first IND submission slated for the second half of this year, we are at a pivotal inflection point.\n\nAs a Staff Software Engineer on our Imaging Software team, you will define and expand our computer vision and ML infrastructure across the full imaging data lifecycle — from on-microscope acquisition to high-throughput ML pipelines. You'll build the platform features that make novel imaging modalities and ML-derived phenotypes integral to our discovery workflows, partnering daily with lab scientists, ML scientists, and our microscopy team to turn research prototypes into validated screening workflows that run reliably at laboratory automation scale. This is a chance to set the technical direction for how imaging, automation, and machine learning converge in drug discovery.\n\nBased in South San Francisco, this position reports directly to the Director of Imaging, Cellular Machine Learning and offers an in-person hybrid schedule of three days per week.\n\n\n\n\nRESPONSIBILITIES\n\nPlatform \u0026 Tooling\n\n• Platform Enablement: Partner with lab and ML scientists to design, develop, and scale the platform capabilities needed to run and interpret ML-powered high-content imaging screens\n\n• User Tooling: Build and evolve robust tools and interactive interfaces for data exploration, quality assessment, and visualization so scientists can iterate quickly on experimental data\n\n• Architectural Ownership: Own complex, end-to-end projects, making thoughtful architectural trade-offs, and delivering incrementally with long-term maintainability in mind\n\nProduction Hardening \u0026 Data Integrity\n\n• Production Hardening: Scale and harden complex image processing and ML workflows, taking them from research prototypes to systems that reliably process millions of images per day\n\n• Data Integrity: Set and uphold best-in-class practices for data integrity, lineage tracking, reproducibility, and observability across the entire imaging data lifecycle\n\n• Documentation: Write clear, exemplary technical specifications and documentation that others build on\n\nCross-Functional Partnership\n\n• Scientific Translation: Work closely with lab scientists, ML scientists, and microscopy teams to translate complex experimental needs into clear, actionable technical plans and shipped software\n\n• Mentorship: Raise the technical bar across the team by sharing knowledge and mentoring other engineers\n\n \n\n\nABOUT YOU\n\nExperience \u0026 Qualifications\n\n• Proven Tenure: 8+ years of professional experience building and operating production-grade software and high-throughput data pipelines, primarily in Python\n\n• ML Platform Depth: You have designed, built, and deployed scientific computing pipelines, visualizations, and QC processes for large-scale imaging or similarly high-dimensional datasets\n\n• Distributed Systems Stack: Hands-on experience with a Python-first ML stack, distributed compute (e.g., PyTorch/Lightning, Ray, Kubernetes), and workflow orchestration (e.g., Argo, Airflow, or redun)\n\n• End-to-End Delivery: A track record of owning complex systems from architecture through production operation\n\nCore Competencies\n\n• Cross-Functional Partnership: You thrive alongside scientists and excel at translating abstract research needs into practical, scalable software\n\n• Mission-Driven: You're motivated by enabling scientific breakthroughs through robust platform engineering\n\n• Force Multiplier: You enjoy mentoring and leveling up the engineers around you \n\n\n\n\nCOMPENSATION \u0026 BENEFITS AT INSITRO\n\nOur target starting salary for successful US-based applicants for this role is $219,000 - $233,000. To determine starting pay, we consider multiple job-related factors including a candidate's skills, education and experience, market demand, business needs, and internal parity. We may also adjust this range in the future based on market data.\n\nThis role is eligible for participation in our Annual Performance Bonus Plan (based on company targets by role level and annual company performance) and our Equity Incentive Plan, subject to the terms of those plans and associated policies.\n\n\n\nIn addition, insitro also provides our employees:\n\n - 401(k) plan with employer matching for contributions\n\n - Excellent medical, dental, and vision coverage as well as mental health and well-being support\n\n - Open, flexible vacation policy\n\n - Paid parental leave of at least 16 weeks to support parents who give birth, and 10 weeks for a new parent (inclusive of birth, adoption, fostering, etc)\n\n - Quarterly budget for books and","salary_min":219000,"salary_max":233000,"location":"San Francisco, CA","workplace":"hybrid","remote_scope":"not_remote","job_type":"full-time","experience_level":"lead","tags":["healthcare","payments","data-pipeline","fine-tuning","pytorch","computer-vision","distributed-systems"],"apply_url":"https://jobs.ashbyhq.com/insitro/ff6605ae-4961-4a06-b656-6d7dc665d990/application","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-08-25T22:43:18.642Z","expires_at":"2026-09-29T13:36:50.099247Z","created_at":"2026-08-26T13:36:56.743297Z","updated_at":"2026-08-30T13:36:50.234419Z","company_name":"Insitro","company_slug":"insitro","company_logo_url":"https://www.google.com/s2/favicons?domain=insitro.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/44046e1e-69ad-4692-9110-7bb87edaadaf"},{"id":"a85f6a22-2c3d-4d63-bc92-fb6bab844254","company_id":"72014eb6-e84d-48c2-af5c-5424ebec0b3c","title":"Senior Staff Machine Learning Systems Engineer, Ads ML Platform","slug":"senior-staff-machine-learning-systems-engineer-ads-ml-platform-555ec238","description":"Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com .\n Reddit has a flexible workforce! If you happen to live close to one of our physical office locations our doors are open for you to come into the office as often as you'd like. Don't live near one of our offices? No worries: You can apply to work remotely in any country in which we have a physical presence\n About Reddit Reddit is a community of communities, built on shared interests, passion, and trust. With 100,000+ active communities and 101M+ daily active unique visitors, we’re one of the largest sources of conversation and knowledge on the internet. For more information, visit redditinc.com .\n Team Overview \n The Ads ML Platform team builds infrastructure that accelerates high-scale ML systems and tooling for Ads ML, while extending reusable capabilities to broader Reddit ML use cases where appropriate. Our systems help ML engineers move faster across the full development lifecycle: creating features, generating training data, running offline experiments, validating model quality, launching production models, and operating ML systems reliably.\n We are looking for a Senior Staff Machine Learning Systems Engineer to lead the technical strategy for the end-to-end Ads ML engineer lifecycle. The initial focus will be on the feature development and training iteration loop: making it faster and easier for ML engineers to build features, generate reliable training data, run experiments, and move from idea to validated model improvement. Over time, this scope will expand into serving and online experimentation workflows, creating a more seamless path from offline iteration to production impact.\n This is a senior technical leadership role for someone who can combine deep systems expertise, production ML experience, architectural judgment, and cross-team influence.\n What You’ll Do \n \n Own the technical strategy for the end-to-end Ads ML engineer lifecycle, starting with feature development, training data, offline experimentation, and model iteration workflows.\n Align Ads ML platform priorities with Reddit’s broader ML Platform vision, translating Ads pain points into reusable platform capabilities where appropriate.\n Define architecture and technical standards for ML feature and training-data systems across batch/streaming computation, backfills, lineage, quality, observability, and online/offline consistency.\n Stay close to ML engineers and platform customers to identify high-leverage friction points and improve day-to-day development velocity.\n Build platform abstractions and workflow automation that make ML development faster, safer, more reliable, and more self-service.\n Over time, extend the platform strategy into serving and online experimentation workflows, creating a more seamless offline-to-online ML development experience.\n Partner across Ads, ML Platform, Data Platform, modeling, product, and engineering teams to clarify ownership, resolve ambiguity, and drive durable execution.\n Mentor Staff and senior engineers, raise the architecture and operational bar, and help grow the next generation of technical leaders.\n \n Who You Might Be \n \n You have 8+ years of experience in infrastructure, distributed systems, ML platforms, data platforms, or large-scale backend systems.\n You have 4+ years building or operating production ML infrastructure, feature platforms, training data systems, experimentation systems, or large-scale data pipelines.\n You have led broad, ambiguous, multi-team platform initiatives from strategy through adoption.\n You have built platforms used directly by ML engineers, data scientists, or product teams developing production ML systems.\n You have deep experience in ML platform, feature platform, training data, experimentation, developer infrastructure, or distributed data infrastructure.\n You have worked with distributed data and compute systems such as Spark, Flink, Kafka, Ray, Airflow, Iceberg, Kubernetes, BigQuery, Snowflake, Databricks, or similar technologies.\n You can balance urgent customer needs with durable long-term architecture and reusable platform patterns.\n You influence senior engineers and leaders through clear technical reasoning, RFCs, design reviews, decision frameworks, and operating mechanisms.\n You are excited to shape how production ML systems are built, scaled, and operated, not only how models are trained.\n \n Benefits: \n \n Comprehensive Healthcare Benefits and Income Replacement Programs\n 401k with Employer Match\n Global Benefit programs that fit your lifestyle, from workspace to professional development to ca","salary_min":292500,"salary_max":409500,"location":"Remote (US)","workplace":"remote","remote_scope":"restricted","job_type":"full-time","experience_level":"lead","tags":["healthcare","distributed-systems","data-pipeline","machine-learning"],"apply_url":"https://job-boards.greenhouse.io/reddit/jobs/8157275","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-08-25T18:40:31Z","expires_at":"2026-09-29T13:38:59.415338Z","created_at":"2026-08-25T19:40:19.020618Z","updated_at":"2026-08-30T13:38:59.553319Z","company_name":"Reddit","company_slug":"reddit","company_logo_url":"https://www.google.com/s2/favicons?domain=www.reddit.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/a85f6a22-2c3d-4d63-bc92-fb6bab844254"},{"id":"10579f66-e97b-43e5-9d59-1a8696be47c9","company_id":"26618e2f-35c7-42eb-8f60-bd25a7e9a0d2","title":"Staff Software Engineer, Backend - Platform (Core AI Automation)","slug":"staff-software-engineer-backend-platform-core-ai-automation-966823ec","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 Staff Software Engineer on the Core Automation team within the Platform group, you'll architect and build the Agentic AI systems that are transforming how Coinbase operates. This team is reimagining customer support and compliance processes for a fully AI-driven world, designing intelligent agents, orchestration frameworks, and measurement systems that deliver delightful customer experiences at scale. You'll own the technical direction for production AI systems, working across cross-functional teams to bring this vision to reality while building primitives that scale automation across the company.\n What you'll do: \n \n Architect and build Agentic AI systems that power Coinbase's compliance automation and other Operations, from intelligent agents through orchestration and guardrails\n Design foundational APIs and measurement frameworks that ensure AI agents are grounded, relevant, and reliably deliver customer delight with minimal hallucination\n Lead technical direction for distributed systems underpinning AI automation, defining architecture patterns and strategic roadmaps in partnership with engineering leadership\n Build reusable primitives and orchestration solutions that enable AI-powered automation to scale across multiple domains beyond the initial customer support and compliance focus\n Mentor engineers on AI system design techniques, coding standards, and production-readiness practices for LLM-based applications\n \n Required skills and experience: \n \n 8+ years in software engineering with demonstrated experience architecting distributed systems and shipping production AI/ML applications\n Experience working with LLM-based applications, familiarity with - measuring and improving grounding, reducing hallucinations, and building guardrails for reliability\n Deep expertise designing APIs, orchestration layers, and evaluation frameworks for agentic AI systems at scale\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 $218,025 — $256,500 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":218025,"salary_max":256500,"location":"Remote (US)","workplace":"remote","remote_scope":"restricted","job_type":"full-time","experience_level":"lead","tags":["agents","llm","distributed-systems","backend"],"apply_url":"https://www.coinbase.com/careers/positions/8154983?gh_jid=8154983","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-08-24T19:58:52Z","expires_at":"2026-09-29T13:39:26.627894Z","created_at":"2026-08-25T18:29:06.403591Z","updated_at":"2026-08-30T13:39:26.765697Z","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/10579f66-e97b-43e5-9d59-1a8696be47c9"},{"id":"22350dcd-2163-4b68-95ae-b6b30ca73990","company_id":"a0000000-0000-0000-0000-000000000001","title":"Staff + Sr. Software Engineer, Scaling","slug":"staff-sr-software-engineer-scaling-cf5b270f","description":"About Anthropic \n Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.\n About the role\n Our Inference team is responsible for building and scaling the critical systems that serve Claude to millions of users worldwide. We bring Claude to life by serving our models via the industry’s largest compute-agnostic inference deployments. We are responsible for the entire stack from intelligent request routing to fleet-wide orchestration across diverse AI accelerators.\n The team has a dual mandate: maximizing compute efficiency to reliably serve our explosive customer growth, while enabling breakthrough research by giving our scientists the high-performance inference infrastructure they need to develop next-generation models. We tackle complex, distributed systems challenges across multiple accelerator families and emerging AI hardware running in multiple cloud platforms.\n Inference systems are highly performance sensitive distributed systems. Inference serves hundreds of thousands of customers every day, and the size \u0026 span of the inference fleet requires sophisticated routing, scaling, and networking systems.\n Key responsibilities\n \n Design, build, and maintain the distributed systems that serve Claude to millions of users worldwide\n Develop resilient, flexible systems that adapt in real time to real world events\n Develop intelligent request routing, load balancing, and traffic management systems across thousands of accelerators and multiple cloud providers\n Maximize compute efficiency and optimize cost across the fleet by autoscaling and orchestrating production, research, and experimental workloads across multiple cloud providers\n Build and operate production-grade deployment pipelines for releasing new models to users\n Provide high-performance inference infrastructure that enables researchers to develop next-generation models\n Integrate new AI accelerator platforms and support inference for new model architectures\n \n Minimum qualifications\n \n Significant software engineering experience, particularly with distributed systems\n Results-oriented, with a bias towards flexibility and impact\n Willingness to pick up slack, even if it goes outside your job description\n Desire to learn more about machine learning systems and infrastructure\n Thrive in environments where technical excellence directly drives both business results and research breakthroughs\n Care about the societal impacts of your work\n \n Preferred qualifications\n \n Experience with high-performance, large-scale distributed systems\n Experience implementing and deploying machine learning systems at scale\n Experience with load balancing, request routing, or traffic management systems\n Familiarity with LLM inference optimization, batching, and caching strategies\n Experience with Kubernetes and cloud infrastructure (AWS, GCP, Azure)\n Proficiency in Python or Rust\n \n Representative projects\n \n Designing intelligent routing algorithms that optimize request distribution across many accelerators in different environments\n Autoscaling our compute fleet to dynamically match supply with demand across production, research, and experimental workloads\n Building production-grade deployment pipelines for releasing new models to millions of users reliably\n Contributing to new inference features\n Supporting inference for new model architectures\n Analyzing observability data to tune performance based on real-world production workloads\n Managing multi-region deployments and geographic routing for global customers\n The annual compensation range for this role is listed below. \n For sales roles, the range provided is the role’s On Target Earnings (\"OTE\") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.\n Annual Salary:\n $320,000 — $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 qua","salary_min":320000,"salary_max":485000,"location":"San Francisco, CA","workplace":"hybrid","remote_scope":"not_remote","job_type":"full-time","experience_level":"lead","tags":["alignment","distributed-systems","llm","cloud","infrastructure"],"apply_url":"https://job-boards.greenhouse.io/anthropic/jobs/5400012008","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-08-24T19:24:05Z","expires_at":"2026-09-29T13:30:43.237516Z","created_at":"2026-08-25T18:26:22.790216Z","updated_at":"2026-08-30T13:30:43.378784Z","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/22350dcd-2163-4b68-95ae-b6b30ca73990"},{"id":"0dad12d0-3282-4119-8593-12fef77bf79e","company_id":"b4787255-dacd-444b-8e44-bb9971ec1f36","title":"Principal Software Engineer - PA172","slug":"principal-software-engineer-pa172-a0f1fa6e","description":"ZoomInfo is where careers accelerate. We move fast, think boldly, and empower you to do the best work of your life. You’ll be surrounded by teammates who care deeply, challenge each other, and celebrate wins. With tools that amplify your impact and a culture that backs your ambition, you won’t just contribute. You’ll make things happen–fast.\n \n As a  Principal Engineer on our Advertising, Company Intelligence, and Intent team, you’ll help design and implement the core systems that power our real-time marketing platform. From high-throughput ad infrastructure to large-scale identity resolution and intelligent systems enhanced by LLMs, push the boundaries of scale, intelligence, and speed—and deliver real-world business impact.\n You’ll be joining a team with a broad range of ambitious, technically deep projects—from APIs that process tens of billions of events per day, to new buyer intent algorithms powered by LLMs, to a unified B2B identity graph. Depending on your strengths and interests, you’ll be matched to the initiatives where you can have the greatest impact.\n This is a high-growth, high-ownership environment operating at the edge of what’s possible in modern software engineering, data infrastructure, and applied AI.\n What You’ll Do\n \n Design and build distributed systems that process, enrich, and respond to billions of behavioral events per day in real time\n Develop high-performance APIs and services that support advertising, identity, and intent features across the Marketing Platform\n Leverage machine learning and large language models (LLMs) to analyze behavioral data, classify content, extract signals, and enable intelligent decision-making\n Build intelligent agents using frameworks like LangGraph or MCP to reason over data and power user-facing insights\n Design and operate data pipelines using tools like Kafka, Kinesis, and ClickHouse to support both streaming and batch workloads\n Drive quality, performance, scalability, and observability across all systems you own\n Collaborate cross-functionally with product managers, data scientists, and engineers to deliver customer-facing features and internal tooling\n Contribute to technical leadership and mentorship of teammates\n \n What We’re Looking For\n \n 8+ years of backend, data, or infrastructure engineering experience, or equivalent impact and leadership. \n Strong experience in at least one of the following:\n \n Distributed systems engineering (e.g., building low latency high and throughput APIs, scalable microservices, event processing pipelines)\n Big data infrastructure (e.g., streaming, warehousing, low-latency storage at scale)\n Applied AI/ML , including use of LLMs for extraction, classification, or reasoning tasks \n \n Proficiency in one or more core languages: Java, Go, Python \n Solid grasp of SQL and large-scale data modeling\n Familiarity with databases and tools such as: ClickHouse, DynamoDB, Bigtable, Memcached, Kafka, Kinesis, Firehose, Airflow, Snowflake \n \n AI-Native Development Mindset\n \n Comfortable using LLMs as part of your development workflow—whether via tools like Copilot, Cursor, ChatGPT, Claude, or others—to boost productivity, explore architecture ideas, and rapidly prototype. \n Skilled at designing and implementing LLM-powered systems such as RAG pipelines, agent frameworks (e.g., LangGraph), or intelligent workflows that reason across large datasets in real time.\n \n Bonus Points\n \n Experience in ad tech, real-time bidding (RTB), or programmatic systems\n Background in identity resolution, attribution, or behavioral analytics at scale\n Contributions to open source in ML, infrastructure, or data tooling\n Strong product instincts and a passion for building tools that drive meaningful outcomes\n \n  \n #LI-SK1\n #LI-Remote\n \n Actual compensation offered will be based on factors such as the candidate’s work location, qualifications, skills, experience and/or training. Your recruiter can share more information about the specific salary range for your desired work location during the hiring process. We want our employees and their families to thrive.\n In addition to comprehensive benefits we offer holistic mind, body and lifestyle programs designed for overall well-being. Learn more about ZoomInfo benefits here .\n Below is the US base salary for this position. Additional compensation such as Bonus, Commission, Equity and other benefits may also apply.\n $163,800 — $257,400 USD \n About us:  \n ZoomInfo (NASDAQ: GTM) is the Go-To-Market Intelligence Platform that empowers businesses to grow faster with AI-ready insights, trusted data, and advanced automation. Its solutions provide more than 35,000 companies worldwide with a complete view of their customers, making every seller their best seller.\n ZoomInfo is committed to protecting your privacy when you apply for jobs with us. Please review our Job Applicant Privacy Notice for more details on how we handle your personal information.\n ZoomInfo may use a software","salary_min":163800,"salary_max":257400,"location":"Bethesda, MD","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"principal","tags":["distributed-systems","llm","rag","code-generation","agents","data-pipeline","microservices"],"apply_url":"https://www.zoominfo.com/careers?gh_jid=8661955002","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-08-24T15:33:05Z","expires_at":"2026-09-29T13:49:07.59184Z","created_at":"2026-08-25T18:33:34.926533Z","updated_at":"2026-08-30T13:49:07.728081Z","company_name":"ZoomInfo","company_slug":"zoominfo","company_logo_url":"https://www.google.com/s2/favicons?domain=zoominfo.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/0dad12d0-3282-4119-8593-12fef77bf79e"},{"id":"8f77e066-b472-49a1-8bb9-60228d4162cf","company_id":"e8c9f3a5-9310-43f5-9341-321fe6d93a92","title":"Software Engineer, Fleet Management","slug":"software-engineer-fleet-management-a6de8e75","description":"About us    \n Founded in 2017, Wayve is the leading developer of Embodied AI technology.  Our advanced AI software and foundation models enable vehicles to perceive, understand, and navigate any complex environment, enhancing the usability and safety of automated driving systems.\n Our vision is to create autonomy that propels the world forward.  Our intelligent, mapless, and hardware-agnostic AI products are designed for automakers, accelerating the transition from assisted to automated driving.  In our fast-paced environment big problems ignite us—we embrace uncertainty, leaning into complex challenges to unlock groundbreaking solutions. We aim high and stay humble in our pursuit of excellence, constantly learning and evolving as we pave the way for a smarter, safer future.\n At Wayve, your contributions matter.  We value diversity, embrace new perspectives, and foster an inclusive work environment; we back each other to deliver impact.  \n Make Wayve the experience that defines your career!  \n The role \n As a Software Engineer on our Fleet Management team, you'll build the tools and services that let Wayve's engineers and operators manage a global fleet of autonomous vehicles and data-collection devices. The work spans frontend, backend, APIs, cloud services, and data — covering vehicle health tracking, software and configuration management, and location-based services.\n You'll work alongside more senior engineers, contributing to technical design and taking ownership of features and services end-to-end.\n \n Key responsibilities \n \n Build and maintain full-stack features across Fleet Management services.\n Contribute across frontend, backend, API, database, and cloud service implementation.\n Contribute to technical design discussions and help deliver scalable, maintainable solutions.\n Write well-tested, maintainable, and performant code.\n Review peers' code to support quality, consistency, and shared learning.\n Build and support systems that help Fleet Operations and Engineering monitor vehicle health, configuration, software status, and location.\n \n \n About you \n Essential skills \n \n Professional software engineering experience building full-stack web applications or services.\n Hands-on experience across frontend and backend development, with enough breadth to contribute across the stack.\n Experience designing or working with APIs, databases, schemas, and backend services.\n The ability to deliver clean, tested, maintainable code.\n Familiarity with cloud services, distributed systems, or microservices.\n \n Desirable skills \n \n Experience with React, TypeScript, MUI, Rust, Go, Node.js, Kubernetes, Bazel, or Azure.\n Experience working on fleet management, robotics, autonomy, drone, vehicle, or operational tooling products.\n Experience with scalable backend systems, monitoring, reliability, or high-volume data workflows.\n \n This is a full-time role based in our office Sunnyvale. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home.   \n The reasonably estimated salary for this role ranges from $176,500 to $220,800 plus a competitive equity package. Actual compensation is based on the candidate's skills, qualifications, and experience\n For more information visit Careers at Wayve.  \n To learn more about what drives us, visit Values at Wayve \n Wayve is committed to creating an inclusive interview experience. If you require any accommodations or adjustments to participate fully in our interview process, please let us know. \n We understand that everyone has a unique set of skills and experiences and that not everyone will meet all of the requirements listed above. If you’re passionate about self-driving cars and think you have what it takes to make a positive impact on the world, we encourage you to apply. At Wayve we're committed to creating a diverse, fair and respectful culture that is inclusive of everyone based on their unique skills and perspectives, and regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, veteran status, pregnancy or related condition  (including breastfeeding) or any other basis as protected by applicable law.  \n For more information visit Careers at Wayve.  \n To learn more about what drives us, visit Values at Wayve  \n For US candidates only, please visit E-Verify Notice and Participation and Right to Work \n \n DISCLAIMER: We will not ask about marriage or pregnancy, care responsibilities or disabilities in any of our job adverts or interviews. However, we do look to capture information about care responsibilities, and disabilities among other diversity information as part of an optional DEI Monitoring form to help us identify areas of improvement in our hiring process a","salary_min":176500,"salary_max":220800,"location":"Sunnyvale, CA","workplace":"hybrid","remote_scope":"not_remote","job_type":"full-time","experience_level":"mid","tags":["generative-ai","robotics","microservices","distributed-systems","autonomous-vehicles"],"apply_url":"https://wayve.firststage.co/jobs?gh_jid=8735204002","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-08-21T18:01:11Z","expires_at":"2026-09-29T13:43:29.144177Z","created_at":"2026-08-25T18:31:14.463105Z","updated_at":"2026-08-30T13:43:29.281163Z","company_name":"Wayve","company_slug":"wayve","company_logo_url":"https://www.google.com/s2/favicons?domain=wayve.ai\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/8f77e066-b472-49a1-8bb9-60228d4162cf"},{"id":"3707734c-f7ec-4eee-bd06-3bd04c3d3355","company_id":"52f44519-9f93-4eac-ae0b-8be13e385ebe","title":"Cloud DevOps Engineer","slug":"cloud-devops-engineer-c42c2a76","description":"CLOUD DEVOPS ENGINEER\n\n\n\nYou'll build the cloud infrastructure that turns the open web into data — the platform beneath Firecrawl's crawling, scraping, and search products. We need engineers who can make that foundation — Kubernetes, storage, networking, deployments — fast, reliable, and cheap at web scale. You'll own real infrastructure from day one — not tickets in a backlog.\n\n \n\nSalary Range: $246,000–$271,000/year\n\nEquity Range: Competitive equity — details shared during the process.\n\nLocation: San Francisco, CA (Onsite)\n\nJob Type: Full-Time \n\nExperience: 5+ years in DevOps, Platform Engineering or Cloud Infrastructure \n\nVisa: Must be legally authorized to work in the United States. We're not able to sponsor visas right now, though that may change down the line.\n\n\n\n\nABOUT FIRECRAWL\n\nFirecrawl is the easiest way to turn the web into data AI agents can use. One API call converts any URL into clean, LLM-ready markdown or structured data - the boring-hard problem everyone building with LLMs eventually hits, solved.\n\nWe hit 8 figures in ARR in year one and more than doubled it in year two. We have 170k+ GitHub stars, and developers, agents, and category-defining AI companies build on us every day. Growth like this is rare, and we're just getting started.\n\nWe're a small team punching far above our weight. Everyone here owns a real piece of the product and company, end to end, and runs it themselves - no hiding behind process or headcount.\n\nThis is a place for people who want to work at the frontier: an AI company building the infrastructure other AI companies run on, not one bolting AI onto an existing product. We move fast, go deep, and are building the tools superintelligence will rely on to gather data from the web.\n\n\n\n\nWHAT YOU'LL DO\n\n - Design, build, and operate GCP and on-prem infrastructure behind Firecrawl's products\n\n - Run large stateful and high-throughput workloads on Kubernetes — search clusters, crawling fleets, queues, and databases — with zero-downtime upgrades\n\n - Own CI/CD, Infrastructure as Code, automations, and containerized deployments across the platform\n\n - Drive down infrastructure cost per request while traffic and data volume grow\n\n - Build the observability that keeps latency, throughput, and reliability predictable and define the SLIs, SLOs, and customer-facing SLAs we hold ourselves to.\n\n - Build and support our enterprise controls — SSO/SAML, RBAC, audit logging, tenant isolation, private networking, and the infrastructure behind SOC 2 and customer security reviews\n\n - Work directly with product and search engineers to productionize new services, retrieval, and ML workloads\n\n - Own the incident lifecycle with engineers — from on-call and triage process to postmortems and resolution.\n\n\n\n\nWHAT WE'RE LOOKING FOR\n\n - You've operated stateful distributed systems on Kubernetes at real scale — not just stateless services\n\n - You have deep experience with a major cloud (e.g. GCP, AWS, Azure), Docker, and Terraform; MLOps or ML-serving infrastructure experience (GPU workloads, model deployment pipelines) is a plus\n\n - You've run large-scale, data-heavy systems in production — search platforms, crawling or ingestion pipelines, or comparable. Hands-on experience operating Vespa https://github.com/vespa-engine/vespa is a strong plus.\n\n - You care about latency, cost, and reliability in equal measure\n\n - Experience with security and compliance infrastructure (SSO/SAML, audit logging, network isolation, SOC 2) is a strong plus — especially for the Core Platform focus\n\n - You're comfortable owning ambiguous problems and turning them into shipped infrastructure\n\n\n\n\nWHAT WE'RE NOT LOOKING FOR\n\n - Someone who needs a fully-specced ticket to start\n\n - Someone who wants to specialize narrowly and hand off everything else\n\n - Someone who optimizes for process over shipping\n\n\n\n\nA NOTE ON PACE\n\nWe operate at an absurd level of urgency because the window for what we're building won't stay open forever. If that excites you, keep reading. If it doesn't, no hard feelings — but this role probably isn't for you.\n\n\n\n\nBENEFITS \u0026 PERKS\n\n\n\n\nAVAILABLE TO ALL EMPLOYEES\n\n - Salary that makes sense — $246,000–$271,000/year, based on impact, not tenure\n\n - Own a piece — Gain competitive equity in what you're helping build\n\n - Generous PTO — 15 days mandatory, anything after 24 days, just ask (holidays excluded); take the time you need to recharge\n\n - Parental leave — 12 weeks fully paid, for all parents\n\n - Wellness stipend — $100/month for the gym, therapy, massages, or whatever keeps you human\n\n - Learning \u0026 Development — Expense up to $1,000/year toward anything that helps you grow professionally\n\n - Team offsites — A change of scenery, minus the trust falls\n\n - Sabbatical — 3 paid months off after 4 years, do something fun and new\n\n\n\n\nAVAILABLE TO US-BASED FULL-TIME EMPLOYEES\n\n - Full coverage, no red tape — Medical, dental, and vision (100% for employees, 50% fo","salary_min":246000,"salary_max":271000,"location":"San Francisco, CA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["llm","distributed-systems","agents","mlops","search","cloud","devops"],"apply_url":"https://jobs.ashbyhq.com/firecrawl/fe538f2b-7dd5-4d8d-941e-f8014a911652/application","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-08-20T22:04:31.381Z","expires_at":"2026-09-29T13:45:44.202795Z","created_at":"2026-08-25T18:32:19.567715Z","updated_at":"2026-08-30T13:45:44.333747Z","company_name":"Firecrawl","company_slug":"firecrawl","company_logo_url":"https://www.google.com/s2/favicons?domain=firecrawl.dev\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/3707734c-f7ec-4eee-bd06-3bd04c3d3355"},{"id":"9d9a7ed5-4897-4598-9371-07ffd7d0e8d5","company_id":"053355fc-0162-4bb9-b414-cbf7679ee9c8","title":"Software Engineer — Platform","slug":"software-engineer-platform-42ca592b","description":"About Snorkel \n At Snorkel, we believe meaningful AI doesn’t start with the model, it starts with the data.\n We’re on a mission to help enterprises transform expert knowledge into specialized AI at scale. The AI landscape has gone through incredible changes since 2015, when Snorkel started as a research project in the Stanford AI Lab, to the generative AI breakthroughs of today. But one thing has remained constant: the data you use to build AI is the key to achieving differentiation, high performance, and production-ready systems. We work with some of the world’s largest organizations to empower scientists, engineers, financial experts, product creators, journalists, and more to build custom AI with their data faster than ever before. Excited to help us redefine how AI is built? Apply to be the newest Snorkeler!\n About the Team \n Snorkel's Platform organization owns the infrastructure and services that power everything at Snorkel — the pipelines, evals, access layers, event systems, governance, compute, and agent infrastructure that every product team and customer deployment depends on. We're a small team with a large surface area, and we're in the middle of a foundational architecture shift: moving from a single-database data path to a multi-source, event-driven agent first platform. The decisions being made now will define how our platform scales for years. You will be making them.\n About the Role \n We're looking for Platform Engineers who combine strong infrastructure chops with real backend engineering depth. You'll build and operate the systems, services, and agent infrastructure that let product teams move fast and reliably — from data access layers and event-driven pipelines to the agent first architecture that will transform our ability to scale. Your work will directly allow us to scale the amount of high quality data we are able to deliver to our customers.\n We are looking to grow our team of Platform Engineers, and are hiring at multiple levels.\n What You'll Do \n \n Design and build agent infrastructure that allows us to safely and reliably speed up workflows from engineering and operation teams\n Design and implement event-driven data flows using event brokers, CDC connectors, schema registries, event routing, and dead letter queues — ensuring events flow reliably and failures are visible and recoverable\n Build the systems that track how data moves through the platform (lineage), enforce who can access what (governance and RBAC), and log what happened (auditing), including PII handling, retention policy enforcement, and audit infrastructure for enterprise and regulatory compliance\n Set strategy and architecture for build systems, testing frameworks, and CI/CD pipelines, and drive the transition toward robust, automated continuous deployment\n Instrument services with OpenTelemetry, define and monitor SLOs (query latency, pipeline success rates, service reliability), and build alerting that catches issues before they become incidents — you will be on-call for the systems you build\n Contribute to infrastructure cost visibility and optimization — query cost estimation, workload right-sizing, and routing data to the most cost-effective storage tier for its access pattern\n Collaborate with engineers, product managers, and designers to bring consistency and high standards to codebases, infrastructure, and processes\n \n What You'll Bring \n \n 5+ years building platform infrastructure, backend services, or data systems in production — you have built and operated pipelines, data access layers, distributed services, or ETL/ELT systems at scale\n Strong proficiency in Python, and experience designing REST APIs for internal services and developers\n Strong background in distributed systems and cloud platforms (AWS preferred) — hands-on experience with services like S3, RDS, EKS, EventBridge, and IAM, and comfort working in a Terraform-managed environment\n Familiarity with data orchestration tools (Prefect, Airflow, or Dagster) and transformation frameworks (dbt)\n Understanding of data governance concepts — RBAC, PII handling, audit logging, data lineage\n Track record of leading complex engineering initiatives, influencing stakeholders, and delivering measurable impact\n Ability to work in a fast-paced environment with strong technical communication skills\n Fluency with modern developer tooling and a willingness to adopt new tools quickly — the team evaluates and integrates new tooling regularly to improve velocity and reliability\n \n Nice to Have \n \n Experience building shared libraries or SDKs consumed by multiple teams — versioning, backwards compatibility, migration support\n Experience with event-driven architectures — CDC, event buses, schema registries, at-least-once delivery semantics\n Experience with OpenTelemetry, ClickHouse, or similar observability infrastructure\n Prior work in regulated environments (SOC 2, FedRAMP, HIPAA) where compliance requirements shaped system design\n Exp","salary_min":220000,"salary_max":300000,"location":"New York, NY","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"lead","tags":["data-pipeline","distributed-systems","generative-ai","api-design","cloud"],"apply_url":"https://job-boards.greenhouse.io/snorkelai/jobs/6148958004","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-08-20T20:41:08Z","expires_at":"2026-09-29T13:34:01.537722Z","created_at":"2026-08-25T18:27:04.370125Z","updated_at":"2026-08-30T13:34:01.681525Z","company_name":"Snorkel AI","company_slug":"snorkel-ai","company_logo_url":"https://www.google.com/s2/favicons?domain=snorkel.ai\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/9d9a7ed5-4897-4598-9371-07ffd7d0e8d5"},{"id":"2af68795-5861-40b1-95ce-04d100978f08","company_id":"e8c9f3a5-9310-43f5-9341-321fe6d93a92","title":"Senior Data Scientist","slug":"senior-data-scientist-e0977b92","description":"About us    \n Founded in 2017, Wayve is the leading developer of Embodied AI technology.  Our advanced AI software and foundation models enable vehicles to perceive, understand, and navigate any complex environment, enhancing the usability and safety of automated driving systems.\n Our vision is to create autonomy that propels the world forward.  Our intelligent, mapless, and hardware-agnostic AI products are designed for automakers, accelerating the transition from assisted to automated driving.  In our fast-paced environment big problems ignite us—we embrace uncertainty, leaning into complex challenges to unlock groundbreaking solutions. We aim high and stay humble in our pursuit of excellence, constantly learning and evolving as we pave the way for a smarter, safer future.\n At Wayve, your contributions matter.  We value diversity, embrace new perspectives, and foster an inclusive work environment; we back each other to deliver impact.  \n Make Wayve the experience that defines your career!  \n The Role\n As a Data Scientist supporting AI engineers, you will partner with one or more engineering teams, developing actionable insights that guide improvements to the Wayve AI Driver. Using experimental and observational analyses of real and simulated driving, you will help teams advance the functionality, safety, and performance of the Wayve AI Driver, helping to advance Wayve as the leader in end-to-end AI for autonomous mobility.\n This means you might:\n \n Formulate and iterate upon the performance metrics that organize our engineering efforts and guide progress toward commercial success\n Design experiments and targeted off-road measurements to ensure that we deliver product requirements to customers while maintaining safety and performance\n Investigate factors in model training and inference leading to bottlenecks in functionality and performance, identifying and validating hypotheses for unlocking improvements\n \n About you \n Essential:\n \n 3+ years experience working in a Data Science role.\n Fluent in querying and building large datasets, writing production-level SQL for use in data-transformation pipelines.\n Prior experience designing robust real-world experiments (e.g. A/B) and critically evaluating test-statistics\n Foundations in the fundamentals behind statistics: testing appropriate distributions, testing the assumptions behind frequentist stats\n Proficient in using a statistical scripting language and data science/ML packages (e.g. python such as pandas, sklearn, statsmodels, scipy or R such as dplyr, caret, stats)\n Well-versed in summarising, visualising and communicating findings in an accessible and compelling way\n Track record of influencing team direction through your findings\n A bias towards deriving actionable insight that can be used to drive prioritisation and strategy for others.\n Comfortable working asynchronously across time zones with cross-functional partners\n You are deeply curious about building something new and relish the idea of helping to define AV2.0 and how we build it.\n \n Desirable:\n \n Practical experience with machine learning (e.g. PyTorch). Passion to take research ideas to production.\n Track record of promoting statistical rigour and experimental best practices in your prior roles.\n Prior experience using causal inference/econometric techniques and bayesian methodologies for hypothesis testing.\n Prior experience using large datasets with distributed computing (e.g. spark, hadoop or other map-reduce tech)\n Experience working in a fast-moving tech company or startup.\n \n This role is a full-time role based in Sunnyvale, CA (hybrid) and the reasonably estimated salary for this role ranges from $209,700 to 266,800, plus a competitive equity package. Actual compensation is based on the candidate's skills, qualifications, and experience. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home.   We operate core working hours so you can determine the schedule that works best for you and your team. \n Wayve is committed to creating an inclusive interview experience. If you require any accommodations or adjustments to participate fully in our interview process, please let us know. \n We understand that everyone has a unique set of skills and experiences and that not everyone will meet all of the requirements listed above. If you’re passionate about self-driving cars and think you have what it takes to make a positive impact on the world, we encourage you to apply. At Wayve we're committed to creating a diverse, fair and respectful culture that is inclusive of everyone based on their unique skills and perspectives, and regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, veteran ","salary_min":209700,"salary_max":266800,"location":"Sunnyvale, CA","workplace":"hybrid","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["autonomous-vehicles","distributed-systems","pytorch","generative-ai","data-science","evaluation"],"apply_url":"https://wayve.firststage.co/jobs?gh_jid=8728411002","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-08-20T20:06:09Z","expires_at":"2026-09-29T13:43:27.258396Z","created_at":"2026-08-25T18:31:14.400233Z","updated_at":"2026-08-30T13:43:27.392293Z","company_name":"Wayve","company_slug":"wayve","company_logo_url":"https://www.google.com/s2/favicons?domain=wayve.ai\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/2af68795-5861-40b1-95ce-04d100978f08"},{"id":"e83f9b8b-565f-4a94-b2f4-03b79a6f7843","company_id":"2114efab-ea67-411b-bfb8-7899153105f3","title":"Member of Technical Staff, Site Reliability Engineer","slug":"member-of-technical-staff-site-reliability-engineer-369fc8ef","description":"Overview\n\nInferact's mission is to grow vLLM as the world's AI inference engine and accelerate AI progress by making inference cheaper and faster. Founded by the creators and core maintainers of vLLM, we sit at the intersection of models and hardware, a position that took years to build.\n\nAbout the Role\n\nWe're looking for a Site Reliability Engineer to help make vLLM-powered inference systems reliable, observable, and operationally simple at production scale. This role is for someone who thinks about failure before launch, designs systems that are easier to operate, and knows how to turn incidents into durable improvements rather than one-off fixes.\n\nYou'll work across engineering and infrastructure to define SLOs, improve monitoring and alerting, strengthen incident response, drive post-mortems, and reduce operational risk before it reaches users. Your work will directly impact the reliability, availability, and production readiness of the systems powering AI inference at scale.\n\n\n\nSkills and Qualifications\n\nMinimum qualifications:\n\n - Bachelor's degree or equivalent experience in computer science, engineering, systems, infrastructure, or similar.\n\n - Strong experience operating production systems with meaningful traffic, user impact, or infrastructure criticality.\n\n - Deep understanding of SLOs, SLIs, error budgets, alerting, incident response, and post-mortem processes.\n\n - Experience live-fighting major production incidents, including mitigation, root cause analysis, escalation, and follow-through on prevention work.\n\n - Strong Linux, networking, systems debugging, observability, and distributed systems fundamentals.\n\n - Ability to design operationally simple systems and identify likely failure modes before launch.\n\n - Strong programming or scripting ability in Python, Go, Bash, or similar for automation, tooling, and reliability improvements.\n\nPreferred qualifications:\n\n - Experience supporting ML infrastructure, inference systems, GPU workloads, Kubernetes-based platforms, or high-scale backend services.\n\n - Experience building or improving observability systems using metrics, logs, traces, dashboards, alerts, and runbooks.\n\n - Experience with Kubernetes, Docker, Terraform, cloud infrastructure, service meshes, CI/CD systems, or production deployment platforms.\n\n - Experience driving incident review culture, post-mortem processes, reliability reviews, and prevention-oriented engineering work.\n\n - Ability to partner with engineering teams to improve service design, release safety, capacity planning, and operational readiness.\n\nBonus points if you have:\n\n - Owned reliability for high-throughput, latency-sensitive, or mission-critical production systems.\n\n - Supported AI inference, model serving, GPU clusters, ML platforms, or distributed serving infrastructure.\n\n - Built automation that reduced toil, improved recovery time, or prevented repeat incidents.\n\n - Led incident response for severe outages with clear communication across engineering and leadership.\n\n - Created practical SLOs, dashboards, alerts, runbooks, or release gates that improved production reliability.\n\n\n\nLogistics\n\n - Location: This role is based in San Francisco, California. Will consider remote in the US for exceptional candidates.\n\n - Compensation: Depending on background, skills, and experience, the expected annual salary range for this position is $200,000 - $400,000 USD + equity.\n\n - Visa sponsorship: We sponsor visas on a case-by-case basis.\n\n - Benefits: We offers generous health, dental, and vision benefits as well as 401(k) company match.","salary_min":200000,"salary_max":400000,"location":"San Francisco, CA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"lead","tags":["llm","mlops","gpu","cloud","distributed-systems","devops","research"],"apply_url":"https://jobs.ashbyhq.com/inferact/ad992ead-2a9a-4694-8fca-0504354548cd/application","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-08-20T18:25:22.552Z","expires_at":"2026-09-29T13:41:27.521095Z","created_at":"2026-08-25T18:30:22.617589Z","updated_at":"2026-08-30T13:41:27.654002Z","company_name":"Inferact","company_slug":"inferact","company_logo_url":"https://www.google.com/s2/favicons?domain=inferact.ai\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/e83f9b8b-565f-4a94-b2f4-03b79a6f7843"},{"id":"c9b615a5-86d3-46df-8b69-7077643f48b7","company_id":"e8c9f3a5-9310-43f5-9341-321fe6d93a92","title":"Senior Software Engineer, Fleet Management","slug":"senior-software-engineer-fleet-management-0f7389ca","description":"About us    \n Founded in 2017, Wayve is the leading developer of Embodied AI technology.  Our advanced AI software and foundation models enable vehicles to perceive, understand, and navigate any complex environment, enhancing the usability and safety of automated driving systems.\n Our vision is to create autonomy that propels the world forward.  Our intelligent, mapless, and hardware-agnostic AI products are designed for automakers, accelerating the transition from assisted to automated driving.  In our fast-paced environment big problems ignite us—we embrace uncertainty, leaning into complex challenges to unlock groundbreaking solutions. We aim high and stay humble in our pursuit of excellence, constantly learning and evolving as we pave the way for a smarter, safer future.\n At Wayve, your contributions matter.  We value diversity, embrace new perspectives, and foster an inclusive work environment; we back each other to deliver impact.  \n Make Wayve the experience that defines your career!  \n The role \n As a Senior Software Engineer on our Fleet Management team, you'll build the platform that lets Wayve's engineers and operators deploy software, monitor vehicle health, and understand what's happening across the fleet in real time. The team also plays a central role in Wayve's robotaxi operations, acting as the interface between our vehicles and the external services that dispatch and manage autonomous rides. These aren't traditional enterprise tools; the software you build connects our engineers and operators directly with vehicles operating on public roads.\n You'll take projects from problem definition through technical design, implementation, deployment, and operation, working directly with Research, Safety, Operations, SRE, and Infrastructure to deliver solutions that scale with Wayve's growing fleet.\n This is an opportunity to join an early-stage team building fleet infrastructure across a global AV fleet and multiple OEM integrations — each with its own configuration, protocols, and engineering challenges. You'll shape how the team works as much as what it builds.\n Key responsibilities \n \n Build reliable distributed services and workflows for deploying software, AI models, and configurations across vehicles that may be intermittently connected; solve for correctness, ordering, and rollback in environments where connectivity is not guaranteed.\n Build and maintain the services that support robotaxi operations — the interfaces and systems that connect Wayve's vehicles to external dispatch services and enable remote autonomous operations at scale.\n Develop scalable services, APIs, and intuitive interfaces that give engineers deep visibility into vehicle state and enable fast, confident diagnosis of issues.\n Build tools and services that enable engineers and researchers to explore and understand large volumes of vehicle telemetry and operational data.\n Develop reporting and analytics tools that track vehicle utilisation, system performance, and mission outcomes, enabling data-driven engineering and operational decisions.\n Design and build systems spanning web applications, backend services, embedded APIs, and cloud infrastructure, taking end-to-end ownership of their quality and evolution in production.\n Write high-quality, well-tested code, contribute to design and code reviews, and help other engineers grow.\n \n About you  \n Essential skills \n \n Significant professional experience building, shipping, and operating production full-stack applications and web services, with strong hands-on depth across the stack: React, TypeScript, and MUI on the frontend; Rust, Go, and Node.js on the backend (Rust is a plus but not required); and Kubernetes, Azure, and Bazel for infrastructure.\n Experience designing, building, and operating APIs and web services, including sound judgement around API contracts, data modelling, service boundaries, reliability, observability, and failure handling.\n A track record of independently owning meaningful projects end-to-end, from problem definition and technical design through implementation, deployment, and production operation.\n Experience with distributed systems and microservice architectures, with an understanding of reliability, consistency, scalability, and failure modes across service boundaries.\n Experience using metrics, logs, traces, and observability tooling to understand production systems and make data-driven decisions.\n Clear communication skills and the ability to work effectively with Product, engineering, and operational teams across the organisation.\n An interest in mentoring engineers, improving engineering practices, and contributing to technical direction.\n \n Desirable skills \n \n Experience with autonomous vehicles, self-driving technology, robotaxi operations, robotics, or connected vehicle fleets.\n Experience building data pipelines, analytics tools, or working with large-scale telemetry data.\n Background in distributed systems, networking, o","salary_min":209700,"salary_max":266800,"location":"Sunnyvale, CA","workplace":"hybrid","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["generative-ai","autonomous-vehicles","microservices","cloud","distributed-systems","data-pipeline","robotics"],"apply_url":"https://wayve.firststage.co/jobs?gh_jid=8732317002","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-08-20T17:22:28Z","expires_at":"2026-09-29T13:43:28.301959Z","created_at":"2026-08-25T18:31:14.437498Z","updated_at":"2026-08-30T13:43:28.43713Z","company_name":"Wayve","company_slug":"wayve","company_logo_url":"https://www.google.com/s2/favicons?domain=wayve.ai\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/c9b615a5-86d3-46df-8b69-7077643f48b7"}],"page":1,"per_page":20,"total":1455,"total_is_exact":true,"total_pages":73}