General Motors is a global automotive and manufacturing company working across vehicle engineering, production, transportation, and information technology. Founded in 1908, GM develops technologies aimed at advancing mobility while pursuing its vision of zero crashes, zero emissions, and zero congestion. Its international operations bring together large, multidisciplinary teams focused on innovation, sustainable transportation, and the future of the automotive industry.
Entry-Level AI/ML Researcher at General Motors (Hybrid, Mountain View)
Research advanced AI methods and build machine learning prototypes for General Motors’ engineering and product innovation. In this hybrid role, you’ll work with GM R&D researchers and engineering teams.
Description
- Investigate advanced AI topics, including causal and neurosymbolic AI, world models, multimodal and generative AI, and engineering agents.
- Turn scientific and engineering problems into research questions, hypotheses, algorithms, and test plans.
- Build and assess machine learning models and proof-of-concept systems with real-world, simulated, experimental, or engineering data.
- Create approaches for modeling physical systems, causality, uncertainty, constraints, change over time, and interactions among complex components.
- Set baselines and evaluation methods, then examine failures, robustness, generalization, interpretability, and uncertainty.
- Produce reproducible research software, data workflows, and experiment pipelines.
- Work with GM R&D and engineering colleagues to validate findings and explore practical applications for prototypes.
- Share research through reports, talks, publications, invention disclosures, demonstrations, and documentation.
- Take part in technical discussions and help shape research plans.
- Support a collaborative research environment built around peer review, responsible innovation, and ongoing learning.
Requirements
- Pursuing or holding a PhD in computer science, AI, machine learning, applied mathematics, statistics, computational science, engineering, physics, or a related discipline.
- Available to work full time, 40 hours each week.
- Evidence of substantial research in a relevant area, such as a dissertation, publications, patents, open-source projects, research software, or similar technical work.
- Solid knowledge of machine learning and deep learning fundamentals.
- Working familiarity with optimization, probability and statistics, numerical methods, or scientific computing relevant to the research focus.
- Practical experience building and evaluating models in Python with PyTorch, JAX, TensorFlow, or similar frameworks.
- Can plan experiments, choose metrics and baselines, interpret results, and explain technical conclusions with suitable caveats.
- Clear written and verbal communication skills and the ability to work effectively with researchers, engineers, and other technical partners.
- Able to work on site or in a hybrid research setting under GM practices and project requirements.
- Does not require GM immigration sponsorship now or in the future.
- Must qualify as a U.S. Person: U.S. citizen, permanent resident, asylee, or refugee.
Benefits
- May qualify for incentive bonus pay based on company results, role level, and individual performance.
- Medical coverage.
- Dental coverage.
- Vision coverage.
- Health Savings Account.
- Flexible Spending Accounts.
- Retirement savings plan.
- Life insurance.
- Paid vacation and holidays.
- Tuition assistance programs.
- Employee assistance program.
- GM vehicle discounts.
- Relocation benefits administration support.