General Motors
Entry-Level – AI/Machine Learning Researcher
$128K–$279K
Mountain View, California, United States of America · Hybrid · Entry level · Full-time · Posted Oct 12, 2026
- Education
- Pursuit or completion of a PhD in Computer Science, Artificial Intelligence, Machine Learning, Applied Mathematics, Statistics, Computational Science, Engineering, Physics, or a related field.
- Visa sponsorship
- GM does not provide immigration-related sponsorship now or in the future. The role requires a U.S. Person (U.S. citizen, U.S. permanent resident, asylee, or refugee).
About the job
Conduct original AI/ML research and develop, evaluate, and communicate proof-of-concepts that address engineering and scientific challenges at GM.
What you'll do
- Formulate research questions and develop, implement, and rigorously evaluate AI/ML methods and proof-of-concepts.
- Build reproducible research code, data workflows, and experiment pipelines; analyze robustness, generalization, failure modes, interpretability, and uncertainty.
- Collaborate with researchers and engineering partners, and communicate findings through reports, presentations, publications, and demonstrations.
What they ask for
- Pursuing or completed a PhD in a listed or related field.
- Demonstrated research depth in a relevant area, supported by technical contributions such as a dissertation, publications, patents, or open-source work.
- Strong foundations in machine learning and deep learning, with relevant working knowledge of optimization, probability/statistics, numerical methods, or scientific computing.
- Experience developing and evaluating models in Python and frameworks such as PyTorch, JAX, TensorFlow, or comparable tools.
Nice to have
- Research experience in causal inference, counterfactual reasoning, neurosymbolic methods, or world models for engineering.
- Experience with multimodal AI, large language models, agentic systems, retrieval and reasoning, or AI-assisted engineering and software development.
Pay
$128,000-$279,000 USD base salary
Tools
Python, PyTorch, JAX, TensorFlow
AI focus
Original research in advanced AI/ML, including causal AI, neurosymbolic AI, world models, multimodal and generative AI, and engineering agents, with applications to engineering and scientific problems.
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