{"id":2845552,"url":"https://alion.io/job/general-motors-entry-level-aimachine-learning-researcher","title":"Entry-Level – AI/Machine Learning Researcher","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":"A","score":100,"open_postings":8,"ghost_share":0,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":12,"computed_at":"2026-10-21T05:46:15Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"junior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Mountain View, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":128000,"max":279000,"currency":"USD","period":"year","gross":null,"usd_annual":279000},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Interpretability","optional":false},{"name":"JAX","optional":false},{"name":"Machine Learning","optional":false},{"name":"Multimodal AI","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"TensorFlow","optional":false},{"name":"World Models","optional":false},{"name":"AI Agents","optional":true}],"status":"live","first_seen_at":"2026-10-12T00:00:00Z","employer_posted_date":"2026-10-12","last_verified_at":"2026-10-21T07:57:39Z","board_verified":true,"closed_at":null,"days_open":9,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":9},"description":"Job Description\nThe Role:\nConduct original research and develop practical AI/ML methods that accelerate GM’s research, engineering, and product development capabilities. This role is intended for a recent or soon-to-be-completed Ph.D. who brings strong depth in one or more advanced AI areas and the ability to work across disciplines. The researcher will develop proof-of-concepts (POCs), evaluate them on meaningful engineering or scientific problems, communicate findings clearly, and collaborate with senior researchers and engineering partners to move promising ideas toward impact.\nThe Team:\nGM R&D is seeking an outstanding early-career researcher to contribute to advanced work in Artificial Intelligence, Machine Learning, and Large Language Models. The role is designed for a fresh Ph.D. It emphasizes research depth, originality, experimental rigor, and growth toward independent technical leadership. The successful candidate will work with senior researchers, technical fellows, and engineering collaborators to formulate important problems, develop new methods, build research prototypes, and validate results. The work may span causal reasoning, neurosymbolic AI, world models, multimodal and generative AI, engineering agents, or related areas. The researcher will be expected to connect theory and experimentation with real engineering needs while maintaining high standards for reproducibility, explainability, uncertainty awareness, and responsible AI.\nWhat You’ll Do:\nConduct original research in one or more advanced AI areas such as causal AI, neurosymbolic AI, world models, multimodal or generative AI or engineering agents.\nTranslate engineering and scientific challenges into well-defined research questions, hypotheses, algorithms, and experimental plans.\nDesign, implement, and evaluate machine learning models and proof-of-concepts using real, simulated, experimental, or engineering data.\nDevelop methods that can reason about physical systems, causal relationships, uncertainty, constraints, temporal evolution, or complex interactions among components.\nEstablish meaningful baselines and evaluation protocols; analyze failure modes, robustness, generalization, interpretability, and uncertainty rather than relying only on headline accuracy.\nBuild reproducible research code, data-processing workflows, and experiment pipelines using modern deep learning practices.\nCollaborate with GM R&D researchers and engineering partners to understand domain constraints, validate research results, and identify pathways from POCs to practical use.\nCommunicate technical findings through research reports, presentations, publications, invention disclosures, demonstrations, and clear documentation.\nContribute to technical discussions and research roadmaps by identifying promising approaches, important risks, and high-value experiments.\nParticipate in a collaborative research culture that values intellectual curiosity, constructive peer review, responsible innovation, and continuous learning.\nMore About Who You Are\nA curious and intellectually rigorous researcher who enjoys working on difficult, open-ended problems.\nDeeply grounded in at least one technical area, while eager to learn and collaborate across adjacent AI, computational science, and engineering disciplines.\nMotivated by research that can create measurable value in real-world engineering workflows, not only benchmark performance.\nComfortable moving between mathematical formulation, algorithm development, software implementation, and empirical validation.\nAble to explain complex ideas, assumptions, limitations, and results to both technical and general audiences.\nIndependent in driving research tasks to completion while actively seeking feedback and working effectively with senior mentors and cross-functional teams.\nCommitted to careful experimentation, reproducibility, safety, explainability, and responsible use of AI.\nRequired Qualifications:\nPursuit or Completion of a PhD in one of the following areas: Computer Science, Artificial Intelligence, Machine Learning, Applied Mathematics, Statistics, Computational Science, Engineering, Physics, or a related field\nAble to work fulltime, 40 hours per week \nDemonstrated research depth in at least one relevant area, supported by a dissertation, publications, patents, open-source work, research software, or comparable technical contributions.\nStrong foundations in machine learning and deep learning, with working knowledge of optimization, probability/statistics, numerical methods, or scientific computing as appropriate to the research area.\nExperience developing and evaluating models in Python and frameworks such as PyTorch, JAX, TensorFlow, or comparable tools.\nAbility to formulate experiments, select appropriate metrics and baselines, analyze results, and communicate technical conclusions with appropriate caveats.\nStrong verbal and written communication skills and the ability to collaborate effectively with researchers, engineers, and technical stakeholders.\nAbility to work on-site or in a hybrid research environment in accordance with GM work practices and project needs.\nPreferred Qualifications):\nResearch experience in causal inference, counterfactual reasoning, neurosymbolic methods and world models for engineering applications.\nExperience with multimodal AI, large language models, agentic systems, retrieval and reasoning, or AI-assisted engineering and software development.\nEvidence of research impact through high-quality publications, patents, invention disclosures, open-source contributions, awards, or successful technology demonstrations.\nResearch or internship experience in automotive, mobility, aerospace, industrial, energy, defense, national laboratory, or university-industry collaboration settings.\nGM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc).\nThe position is subject to export control restrictions and requires the successful candidate to be a U.S. Person (U.S. citizen, U.S. permanent resident, asylee or refugee).\nWork Arrangement:\nHybrid: This role is categorized as hybrid. This means the successful candidate is expected to report to Mountain View, CA three times per week, at minimum [or other frequency dictated by the business].\nTo help facilitate administration of relocation benefits if you are selected, please apply using the permanent address you would move from.\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 actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position, as well as geography of the selected candidate.\nThe salary range for this role is $128,000-$279,000. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.\nBonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.\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, life insurance, paid vacation and holidays, tuition assistance programs, employee assistance program, and GM vehicle discounts, among others.\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":10033,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"phd","optional":false},"security_clearance":false,"languages":[]},"benefits":["Continuous learning","Life insurance","Retirement plans"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":true,"industries":["Artificial Intelligence","Automotive Manufacturing"],"lifecycle":[{"event":"open","at":"2026-10-19T10:50:38Z"}],"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":57,"band":"ok","label":"Likely open","p_open":1,"p_active":0.756,"p_room":0.75,"age_days":9,"expected_fill_days":12,"reasons":["conf:0","velocity","win:late","comp:junior,brand"],"computed_at":"2026-10-21T05:46:15Z"},"pay":{"stated_usd_annual":279000,"is_top_pay":true},"html_url":"https://alion.io/job/general-motors-entry-level-aimachine-learning-researcher","json_url":"https://alion.io/job/general-motors-entry-level-aimachine-learning-researcher.json","meta":{"generated_at":"2026-10-21T09:15:13Z","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":13101,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-22T00:00:00Z"}},"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-entry-level-aimachine-learning-researcher"},{"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-entry-level-aimachine-learning-researcher"},{"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-entry-level-aimachine-learning-researcher"},{"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-entry-level-aimachine-learning-researcher\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fgeneral-motors-entry-level-aimachine-learning-researcher"}]}