{"id":196728,"url":"https://alion.io/job/may-mobility-machine-learning-engineer-ii-autonomous-driving-performance-evaluation","title":"Machine Learning Engineer II - Autonomous Driving Performance Evaluation","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":90,"open_postings":35,"ghost_share":0.086,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":77,"computed_at":"2026-10-29T05:49:05Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"middle","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":172000,"max":210000,"currency":"USD","period":"year","gross":null,"usd_annual":210000},"salary_estimate":null,"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Linux","optional":false},{"name":"Machine Learning","optional":false},{"name":"NumPy","optional":false},{"name":"Pandas","optional":false},{"name":"Python","optional":false},{"name":"C++","optional":true},{"name":"Grafana","optional":true},{"name":"MLFlow","optional":true},{"name":"Plotly","optional":true},{"name":"Streamlit","optional":true}],"status":"live","first_seen_at":"2026-06-08T20:01:04Z","employer_posted_date":"2026-10-01","last_verified_at":"2026-10-29T22:55:39Z","board_verified":true,"closed_at":null,"days_open":143,"trust":{"level":"ok","repost_count":0,"flags":["company_stale"],"days_open":142},"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.\nJob Summary\nMay Mobility is entering an exciting phase of growth as we expand our first-of-its-kind autonomous shuttle and mobility services across the nation. Launched in 2017 with a strong team of experienced roboticists and software engineers with decades of experience fielding robotic systems in the wild, May Mobility is looking to expand its team of robotics engineers with a background in robotics or autonomous vehicles.\nWe are seeking ML-Oriented Software Engineers with experience in robotics applications. As part of our Autonomous Driving ML team, you will use ML Engineering concepts to measure, analyze and systematically improve the performance of May's Autonomous Driving stack through data, metrics, evaluation and test/hillclimbing suites.\nEssential Responsibilities\nDesign, implement and own ML metrics and evaluation pipelines spanning offline model evaluation, simulation and on-road performance. \nBuild and maintain test, regression and hillclimbing suites that gate model and stack releases, including automated triage of regressions to root cause. \nDrive model improvement through loss analysis, error mining, and data balancing/curation strategies for training and evaluation sets.\nSkills and Abilities\nSuccess in this role typically requires the following competencies:\nDesigning quantitative metrics and statistical analyses that translate model behavior into actionable, decision-grade signals (significance, slicing, long-tail analysis).\nBuilding evaluation and analytics frameworks in production, including dataset slicing, result aggregation and dashboarding at scale. \nApplying data-centric ML methods such as hard-example mining, resampling/reweighting and curriculum or balance adjustments to lift model performance.\nQualifications and Experience\nCandidates most successful in this role typically hold the following qualifications or comparable knowledge or experience:\nRequired\nBachelor's or Master's degree in Robotics, Computer Science, Statistics, or a related field with strong mathematical and engineering foundations. \nA minimum of 2 years building evaluation, metrics, or data analysis systems for ML in production. \nProficiency in Python (NumPy/Pandas or equivalent dataframe tooling) with experience in Linux environments. \nFamiliarity with basic concepts in Machine Learning (losses, train/eval splits, common failure modes) and basic Perception and Planning concepts in Autonomous Driving.\nDesirable\nProficiency in Go or C++. \nFamiliarity with experiment tracking and evaluation tooling such as MLflow, Weights & Biases, or in-house equivalents. \nFamiliarity with statistical methods for A/B comparison, regression detection and noisy-metric analysis. \nFamiliarity with data mining and curation at scale (embedding-based retrieval, active learning, auto-labeling). \nFamiliarity with visualization and dashboarding tools (Plotly, Grafana, Streamlit or similar).\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$172,000—$210,000 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":6366,"description_truncated":false,"requirements":{"experience_years_min":2,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"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":"2026-10-29T16:27:21+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":23,"band":"cold","label":"Long shot","p_open":1,"p_active":0.649,"p_room":0.36,"age_days":142,"expected_fill_days":77,"reasons":["conf:0","win:tail","crowd:"],"computed_at":"2026-10-29T05:49:05Z"},"pay":{"stated_usd_annual":210000,"is_top_pay":true},"html_url":"https://alion.io/job/may-mobility-machine-learning-engineer-ii-autonomous-driving-performance-evaluation","json_url":"https://alion.io/job/may-mobility-machine-learning-engineer-ii-autonomous-driving-performance-evaluation.json","meta":{"generated_at":"2026-10-29T23:02:13Z","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":34017,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-30T00:00:00Z"}},"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-machine-learning-engineer-ii-autonomous-driving-performance-evaluation"},{"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-machine-learning-engineer-ii-autonomous-driving-performance-evaluation"},{"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-machine-learning-engineer-ii-autonomous-driving-performance-evaluation"},{"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-machine-learning-engineer-ii-autonomous-driving-performance-evaluation\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fmay-mobility-machine-learning-engineer-ii-autonomous-driving-performance-evaluation"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":196728}},{"tool":"search_jobs","arguments":{"company":"maymobility.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":196728},"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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