{"id":2973663,"url":"https://alion.io/job/general-motors-staff-machine-learning-engineer-mapping","title":"Staff Machine Learning Engineer - Mapping","company":{"id":1705,"name":"General Motors","domain":"gm.com","url":"https://alion.io/company/general-motors-europe","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":84,"open_postings":63,"ghost_share":0,"stale_share":0.841,"repost_share":0,"time_to_fill_p50_days":12,"computed_at":"2026-10-24T06:02:35Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"staff","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Washington, United States","Austin, United States","Sunnyvale, United States","San Francisco, United States","United States"],"countries":["US"],"hiring_countries":["US"],"hiring_countries_total":1,"salary":{"min":185100,"max":335300,"currency":"USD","period":"year","gross":null,"usd_annual":335300},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"C++","optional":false},{"name":"Computer Vision","optional":false},{"name":"Machine Learning","optional":false},{"name":"Multimodal AI","optional":false},{"name":"Synthetic Data","optional":true}],"status":"live","first_seen_at":"2026-08-05T00:00:00Z","employer_posted_date":"2026-08-05","last_verified_at":"2026-10-22T05:31:12Z","board_verified":false,"closed_at":null,"days_open":80,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":80},"description":"Job Description\nOur Mapping organization is building national-scale, next-generation mapping systemsthat move beyond static HD maps toward automated, ML-driven map reconstruction pipelinespowered by onboard sensor data. These systems form a critical foundation for localization, perception, simulation, and autonomy at scale.\nThe Role\nWe are looking for a Staff Machine Learning Engineerto serve as a technical leader for automated map reconstructionwithin our Mapping Engineering team.\nIn this role, you will architect and deliver end-to-end ML and computer vision pipelinesthat reconstruct, validate, and maintain map primitives (e.g., lanes, boundaries, traffic controls, signs) from large-scale sensor data. Your work will directly power next-generation mapsthat operate reliably across national deploymentsand evolving road conditions.\nThis is a hands-on technical leadership role. You will operate with high autonomy, define technical strategy in ambiguous problem spaces, and lead cross-functional efforts spanning Mapping, Perception, Localization, Simulation, and Infrastructure. You will also mentor senior engineers and help raise the ML and CV bar across the organization.\nWhat You’ll Do (Responsibilities)\nArchitect and lead ML-driven map reconstruction systemsthat operate at national scale using multi-modal sensor data (camera, lidar, radar, vehicle signals).\n\nDesign and implement end-to-end pipelinesfor offline map reconstruction, including data mining, labeling strategies, model training, evaluation, and production deployment.\n\nDefine technical strategy and system architecturefor next-generation mapping capabilities, balancing ML innovation with robustness, safety, and operational scalability.\n\nLead the development and adoption of state-of-the-art computer vision and ML techniques(e.g., detection, segmentation, 3D reconstruction, BEV representations) applied to mapping problems.\n\nOwn cross-functional technical initiatives, working closely with Perception, Localization, Simulation, and Platform teams to define interfaces, data contracts, and integration points.\n\nDrive technical excellence through design reviews, mentorship, and technical guidancefor senior and staff-level engineers across teams.\n\nDiagnose and resolve system-level issuesacross data pipelines, ML models, and production workflows.\n\nServe as a Subject Matter Expert (SME)for ML-based mapping and reconstruction within Mapping and across the AV organization.\n\nContribute to technical roadmaps, hiring, and capability buildingfor ML and CV expertise within the Mapping org.\n\nMinimum Qualifications (Must-Have)\n5+ years of experience building and deploying machine learning or computer vision systemsin production environments.\n\nStrong foundation in computer vision, machine learning, or robotics, with hands-on experience designing and training ML models.\n\nProficiency in Pythonfor ML development; familiarity with C++ or other systems languages is a plus.\n\nExperience building large-scale data pipelinesfor ML, including dataset curation, labeling workflows, training, and evaluation.\n\nProven ability to lead complex, cross-functional technical initiativeswith high autonomy and influence.\n\nBS, MS, or PhD in Computer Science, Electrical Engineering, Robotics, or a related technical field, or equivalent industry experience.\n\nStrong systems thinking - ability to reason about end-to-end ML systems, not just individual models.\n\nPreferred Qualifications (Nice-to-Have)\nExperience with mapping, localization, perception, or robotics systems, particularly in autonomous driving or mobile robotics.\n\nHands-on experience with 3D perception, BEV representations, or multi-view geometry.\n\nFamiliarity with AV sensor data(camera, lidar, radar) and real-world data challenges (noise, drift, long-tail scenarios).\n\nExperience deploying ML models into production pipelineswith monitoring, validation, and iteration loops.\n\nExposure to simulation-based validation, synthetic data, or map change detection workflows.\n\nExperience mentoring senior engineers or acting as a technical lead across multiple teams.\n\nCompensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington.\nThe salary range for this role: is $185,100 to $335,300. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.\n\nBonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.\n\nBenefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.\n\nCompany Vehicle: Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies.\n\nThis role is based remotely, but if the selected candidate lives within a specific mile radius of a GM hub, they will be expected to report to the location three times a week {or other frequency dictated by your manager}.\n\nThis job may be eligible for relocation benefits.\n\nAbout GM\nOur vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.\nWhy Join Us\nWe believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.\nBenefits Overview\nFrom day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.\nNon-Discrimination and Equal Employment Opportunities (U.S.)\nGeneral Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.\nAll employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.\nWe encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.\nAccommodations\nGeneral Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.","description_format":"text","description_chars":8009,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Life insurance","Retirement plans"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":true,"industries":["Automotive Manufacturing"],"lifecycle":[{"event":"open","at":"2026-10-21T03:40:45Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 795 · green card filings: 1","filings_12m":795,"filings_prev_12m":812,"green_card_filings_12m":1,"median_offered_wage_usd":147456,"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":348}],"liveness":{"score":6,"band":"cold","label":"Long shot","p_open":0.9,"p_active":0.241,"p_room":0.28,"age_days":80,"expected_fill_days":12,"reasons":["conf:48","stale_co","velocity","win:tail","crowd:brand"],"computed_at":"2026-10-24T06:02:35Z"},"pay":{"stated_usd_annual":335300,"is_top_pay":true},"html_url":"https://alion.io/job/general-motors-staff-machine-learning-engineer-mapping","json_url":"https://alion.io/job/general-motors-staff-machine-learning-engineer-mapping.json","meta":{"generated_at":"2026-10-24T12:15:53Z","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":17585,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-25T00:00:00Z"}},"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":1705},"rest":"https://alion.io/mcp/rest/get_company?id=1705"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fgeneral-motors-staff-machine-learning-engineer-mapping"},{"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%2Fgeneral-motors-staff-machine-learning-engineer-mapping"},{"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%2Fgeneral-motors-staff-machine-learning-engineer-mapping"},{"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/general-motors-staff-machine-learning-engineer-mapping\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fgeneral-motors-staff-machine-learning-engineer-mapping"}]}