{"id":196726,"url":"https://alion.io/job/may-mobility-lead-machine-learning-engineer","title":"Lead Machine Learning Engineer","company":{"id":11698,"name":"May Mobility","domain":"maymobility.com","url":"https://alion.io/company/may-mobility","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"A","score":95,"open_postings":35,"ghost_share":0,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":146,"computed_at":"2026-10-19T05:45:15Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"lead","employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"posting_text","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Ann Arbor, United States","United States"],"countries":["US"],"hiring_countries":["US"],"hiring_countries_total":1,"salary":{"min":220000,"max":270000,"currency":"USD","period":"year","gross":null,"usd_annual":270000},"salary_estimate":null,"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Linux","optional":false},{"name":"Machine Learning","optional":false},{"name":"Multimodal AI","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"PyTorch C++","optional":false},{"name":"Vision-Language-Action","optional":false},{"name":"World Models","optional":false},{"name":"C++","optional":true},{"name":"Computer Use","optional":true},{"name":"CUDA","optional":true},{"name":"CUDA Toolkit","optional":true},{"name":"Post-training","optional":true}],"status":"live","first_seen_at":"2026-08-19T19:14:18Z","employer_posted_date":"2026-10-01","last_verified_at":"2026-10-19T23:34:24Z","board_verified":true,"closed_at":null,"days_open":61,"trust":{"level":"ok","repost_count":0,"flags":["company_stale"],"days_open":60},"description":"May Mobility is transforming cities through autonomous technology to create a safer, greener, more accessible world. Based in Ann Arbor, Michigan, May develops and deploys autonomous vehicles (AVs) powered by our innovative Multi-Policy Decision Making (MPDM) technology that literally reimagines the way AVs think.\nOur vehicles do more than just drive themselves - they provide value to communities, bridge public transit gaps and move people where they need to go safely, easily and with a lot more fun. We’re building the world’s best autonomy system to reimagine transit by minimizing congestion, expanding access and encouraging better land use in order to foster more green, vibrant and livable spaces. Since our founding in 2017, we’ve given more than 500,000 autonomous rides to real people around the globe. And we’re just getting started. We’re hiring people who share our passion for building the future, today, solving real-world problems and seeing the impact of their work. Join us.\nWe are seeking Machine Learning Leaders in the Autonomous Vehicle domain. As part of our team, you will play a critical role in enhancing May’s Machine Learning capabilities both on and off the vehicle, in a commercial large-scale environment with high standards of quality.\nEssential Responsibilities\nDesign, train and evaluate state of the art models for May’s autonomous driving, simulation and ML Platform stack.\nLeverage emerging techniques in the End-to-End driving, Vision Language Action (VLA), World or Foundation model domains to solve commercial-scale problems. \nLead small teams of cross functional Engineers beyond the state of the art.\nDefine data balance, training experiment and evaluation practices to train efficiently at petabyte scale.\nSkills and Abilities\nSuccess in this role typically requires the following competencies:\nDirect experience architecting & training VLA, MMLM, or Generative World Models for commercial-scale applications\nExperience composing, processing and characterizing large (>100TB) multi-modal datasets\nExperience analyzing and addressing long-tail failure cases in large models\nExperience leading teams of 2-3 Engineers and communicating technical details to interdisciplinary leadership.\nQualifications and Experience\nCandidates most successful in this role typically hold the following qualifications or comparable knowledge or experience:\nRequired\nExtensive practical experience in one of the following domains:\nVision Language Action Models\nGenerative World Models\nFoundation Models in Robotics\nData Centric AI\nA minimum of 4 years of industry experience working on commercial robotics systems.\nA minimum of 1 year mentoring ML Engineers in a commercial or lab environment.\nMaster’s degree in Robotics, Computer Science, or Computer Engineering, or a field that requires a strong mathematical and/or engineering foundation.\nPractical experience handling the “Long Tail” problem in Machine Learning.\nStrong programming skills in Python/PyTorch in a Linux environment.\nFunctional understanding of LiDAR, Camera and Radar processing techniques.\nDesirable\nPhD and/or published research in the described specialty domains.\nFamiliar with common post-training techniques.\nExperience deploying models to resource constrained and edge hardware\nFunctional understanding of C/C++/CUDA memory and threading models.\nPhysical Requirements\nStandard office working conditions which includes but is not limited to:\nProlonged sitting\nProlonged standing\nProlonged computer use\nTravel required? - Low: 5%-10%\nBenefits and Perks\nComprehensive healthcare suite including medical, dental, vision, life, and disability plans. Domestic partners who have been residing together at least one year are also eligible to participate. \nHealth Savings and Flexible Spending Healthcare and Dependent Care Accounts available.\nRich retirement benefits, including an immediately vested employer safe harbor match.\nGenerous paid parental leave as well as a phased return to work. \nFlexible vacation policy in addition to paid company holidays.\nTotal Wellness Program providing numerous resources for overall wellbeing \nDon’t meet every single requirement? Studies have shown that women and/or people of color are less likely to apply to a job unless they meet every qualification. At May Mobility, we’re committed to building a diverse, inclusive, and authentic workforce, so if you’re excited about this role but your previous experience doesn’t align perfectly with every qualification, we encourage you to apply anyway! You may be the perfect candidate for this or another role at May.\nWant to learn more about our culture & benefits? Check out our website!\nMay Mobility is an equal opportunity employer. All applicants for employment will be considered without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity or expression, veteran status, genetics or any other legally protected basis. Below, you have the opportunity to share your preferred gender pronouns, gender, ethnicity, and veteran status with May Mobility to help us identify areas of improvement in our hiring and recruitment processes. Completion of these questions is entirely voluntary. Any information you choose to provide will be kept confidential, and will not impact the hiring decision in any way. If you believe that you will need any type of accommodation, please let us know.\nNote to Recruitment Agencies: May Mobility does not accept unsolicited agency resumes. Furthermore, May Mobility does not pay placement fees for candidates submitted by any agency other than its approved partners.\nSalary Range\n$220,000—$270,000 USD\nMay Mobility uses automated tools to support - but not replace - human judgment in our recruiting process, to find out more please click here","description_format":"text","description_chars":5812,"description_truncated":false,"requirements":{"experience_years_min":4,"management_years_min":null,"team_size_min":2,"manages_managers":false,"education":{"level":"master","optional":true},"security_clearance":false,"languages":[]},"benefits":["Flexible vacation policy","Parental leave"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Public Transport","Autonomous Driving","Smart Mobility"],"lifecycle":[{"event":"open","at":"2026-09-03T13:51:12Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 13","filings_12m":13,"filings_prev_12m":14,"green_card_filings_12m":0,"median_offered_wage_usd":207500,"route":null,"cap_exempt":false,"checked_at":"2026-10-15T11:24:14+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":2}],"liveness":{"score":62,"band":"ok","label":"Likely open","p_open":1,"p_active":0.86,"p_room":0.72,"age_days":60,"expected_fill_days":146,"reasons":["conf:1","win:mid","crowd:"],"computed_at":"2026-10-19T05:45:15Z"},"pay":{"stated_usd_annual":270000,"is_top_pay":true},"html_url":"https://alion.io/job/may-mobility-lead-machine-learning-engineer","json_url":"https://alion.io/job/may-mobility-lead-machine-learning-engineer.json","meta":{"generated_at":"2026-10-20T02:37:19Z","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":2967,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-21T00:00:00Z"}},"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":11698},"rest":"https://alion.io/mcp/rest/get_company?id=11698"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fmay-mobility-lead-machine-learning-engineer"},{"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%2Fmay-mobility-lead-machine-learning-engineer"},{"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%2Fmay-mobility-lead-machine-learning-engineer"},{"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/may-mobility-lead-machine-learning-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fmay-mobility-lead-machine-learning-engineer"}]}