{"id":3837266,"url":"https://alion.io/job/waymo-staff-machine-learning-engineer-ai-infrastructure","title":"Staff Machine Learning Engineer, AI Infrastructure","company":{"id":98,"name":"Waymo","domain":"waymo.com","url":"https://alion.io/company/waymo","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"B","score":81,"open_postings":125,"ghost_share":0,"stale_share":0.544,"repost_share":0.008,"time_to_fill_p50_days":76,"computed_at":"2026-11-08T05:47:12Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"staff","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Mountain View, United States","San Francisco, United States","New York, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":251000,"max":310000,"currency":"USD","period":"year","gross":null,"usd_annual":310000},"salary_estimate":null,"experience_years_min":10,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"C++","optional":false},{"name":"JAX","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"SLI/SLO/SLA","optional":false},{"name":"TensorFlow","optional":false},{"name":"TensorFlow C++","optional":false},{"name":"TPU","optional":false}],"status":"live","first_seen_at":"2026-11-05T19:19:39Z","employer_posted_date":"2026-11-05","last_verified_at":"2026-11-08T12:44:34Z","board_verified":true,"closed_at":null,"days_open":2,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":2},"description":"Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver™-to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.\nThe Driver Understanding and Evaluation (DUE) team at Waymo is developing rich metrics for understanding the behavior of the Waymo Driver in the real world, and technologies such as context and scene analysis to understand driving, understanding and augmenting real world driving data to generate rare driving events, build large scale data infrastructure, improve components such as agents and a realistic simulator. These technologies come together to drive the overall technical strategy and methodology used to evaluate the behavior of the Waymo Driver. \nThe DUE Machine Learning team will build and operate scalable machine learning and data systems, simulation workflow and insight tools, improve and speed up the evaluation and onboard developer journeys. It will combine expert human judgements and advanced machine learning models to deliver training and evaluation data for hundreds of metrics and components that make up the Waymo driver. We are looking for researchers and software engineers who are passionate about developing machine learning techniques for the Evaluation systems on our autonomous vehicles, and have an incessant drive to improve the performance of our technology stack. \nYou will:\nLead the design and development of ML infrastructure that takes DUE models from data to training to production serving, including event detection models, triage foundation models, and agents.\nDesign and scale distributed systems for large-scale dataset generation, model training, and evaluation across Waymo's real-world and simulation data.\nOwn the reliability, efficiency, and observability of production ML serving, including accelerator capacity planning and performance optimization.\nKeep offline evaluation and production inference consistent, so the models we evaluate are the models we serve.\nDrive technical direction for the team, guide architectural decisions, and mentor engineers.\nCollaborate with modeling, evaluation, and platform teams across Waymo to turn product and business goals into measurable technical deliverables.\nYou have:\nB.S. in Computer Science, Machine Learning, or a related technical field, or equivalent practical experience.\n7+ years of hands-on experience building machine learning systems.\nExperience designing, scaling, training, deploying, and optimizing large-scale ML systems from data to model.\nStrong coding experience in Python and/or C++.\nExperience with ML frameworks such as JAX, TensorFlow, or PyTorch, including both the user-facing APIs and their internals.\nProven ability to set technical direction and influence partner teams in ambiguous problem spaces.\nWe prefer:\nM.S. or Ph.D. in Computer Science or a related field with a specialization in machine learning.\n10+ years of hands-on experience building production machine learning systems.\nExperience serving ML models in production at scale, including low-latency inference on accelerators (TPU/GPU), SLOs, and safe model rollouts.\nTechnical leadership in serving production-quality models, including owning launches, reliability, and on-call for services that other teams depend on.\nExperience with distributed training and accelerator performance profiling.\nExperience in autonomous vehicles, robotics, or large-scale simulation.\nThe expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process. \nWaymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. \nSalary Range\n$251,000—$310,000 USD","description_format":"text","description_chars":4637,"description_truncated":false,"requirements":{"experience_years_min":10,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Equity"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Autonomous Driving","Smart Mobility","Ride Hailing"],"lifecycle":[{"event":"open","at":"2026-11-05T21:24:04Z"}],"visa":[{"country":"US","licensed_sponsor":true,"adverts_offering_sponsorship_24m":0,"sanctioned_now":false,"evidence":"H-1B filings in 12 months: 331 · green card filings: 28","filings_12m":331,"filings_prev_12m":227,"green_card_filings_12m":28,"median_offered_wage_usd":206330,"route":null,"cap_exempt":false,"checked_at":"2026-11-08T10:45:15+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)","US Department of Labor: PERM disclosure data (green cards)"],"filings_for_role_12m":261}],"liveness":{"score":63,"band":"ok","label":"Likely open","p_open":1,"p_active":0.632,"p_room":1,"age_days":2,"expected_fill_days":76,"reasons":["conf:1","stale_co","velocity","win:early","comp:brand"],"computed_at":"2026-11-08T05:47:12Z"},"pay":{"stated_usd_annual":310000,"is_top_pay":true},"html_url":"https://alion.io/job/waymo-staff-machine-learning-engineer-ai-infrastructure","json_url":"https://alion.io/job/waymo-staff-machine-learning-engineer-ai-infrastructure.json","meta":{"generated_at":"2026-11-08T14:07:10Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":29914,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-09T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":98},"rest":"https://alion.io/mcp/rest/get_company?id=98"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fwaymo-staff-machine-learning-engineer-ai-infrastructure"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fwaymo-staff-machine-learning-engineer-ai-infrastructure"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fwaymo-staff-machine-learning-engineer-ai-infrastructure"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/waymo-staff-machine-learning-engineer-ai-infrastructure\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fwaymo-staff-machine-learning-engineer-ai-infrastructure"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3837266}},{"tool":"search_jobs","arguments":{"company":"waymo.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3837266},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. 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