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Entry-Level – AI/Machine Learning Researcher
General Motors. Conduct original research in advanced AI areas such as causal AI, neurosymbolic AI, world models, multimodal or generative AI, and engineering agents .
Posted 10/12/2026full-timeMountain View • California • United StatesEntry Level💰 $128,000 - $279,000 per yearWebsite
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in advanced AI research areas, including causal AI and generative AI, with strong foundations in machine learning and deep learning. Proficient in developing and evaluating models using Python and frameworks like PyTorch and TensorFlow, while effectively communicating technical findings.
Highest-signal resume keywords
PhD In Computer ScienceMachine LearningDeep LearningPython ProgrammingPyTorch Framework
ATS Keywords
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Hard Skills
Causal AIGenerative AINeurosymbolic AIMachine Learning ModelsExperimental DesignOptimizationProbability/StatisticsNumerical MethodsScientific ComputingModel Evaluation
Soft Skills
Verbal CommunicationWritten CommunicationCollaboration
Tools & Technologies
PyTorchJAXTensorFlowData-Processing WorkflowsExperiment Pipelines
Industry Keywords
ResearchAIEngineeringTechnical ContributionsPeer Review
Tech Stack
Tools & technologiesPythonPyTorchTensorflow
About the role
Key responsibilities & impact- Conduct original research in advanced AI areas such as causal AI, neurosymbolic AI, world models, multimodal or generative AI, and engineering agents
- Translate engineering and scientific challenges into research questions, hypotheses, algorithms, and experimental plans
- Design, implement, and evaluate machine learning models and proof-of-concepts using real, simulated, experimental, or engineering data
- Develop methods for reasoning about physical systems, causal relationships, uncertainty, constraints, temporal evolution, and complex component interactions
- Establish baselines and evaluation protocols; analyze failure modes, robustness, generalization, interpretability, and uncertainty
- Build reproducible research code, data-processing workflows, and experiment pipelines
- Collaborate with GM R&D researchers and engineering partners to validate results and identify pathways from proof-of-concepts to practical use
- Communicate findings through research reports, presentations, publications, invention disclosures, demonstrations, and documentation
- Contribute to technical discussions and research roadmaps
- Participate in a collaborative research culture emphasizing peer review, responsible innovation, and continuous learning
Requirements
What you’ll need- Pursuit or completion of a PhD in Computer Science, Artificial Intelligence, Machine Learning, Applied Mathematics, Statistics, Computational Science, Engineering, Physics, or a related field
- Able to work fulltime, 40 hours per week
- Demonstrated research depth in at least one relevant area, supported by a dissertation, publications, patents, open-source work, research software, or comparable technical contributions
- Strong foundations in machine learning and deep learning
- Working knowledge of optimization, probability/statistics, numerical methods, or scientific computing as appropriate to the research area
- Experience developing and evaluating models in Python and frameworks such as PyTorch, JAX, TensorFlow, or comparable tools
- Ability to formulate experiments, select appropriate metrics and baselines, analyze results, and communicate technical conclusions with appropriate caveats
- Strong verbal and written communication skills and ability to collaborate effectively with researchers, engineers, and technical stakeholders
- Ability to work on-site or in a hybrid research environment in accordance with GM work practices and project needs
- Must not require GM immigration sponsorship now or in the future
- Must be a U.S. Person: U.S. citizen, U.S. permanent resident, asylee, or refugee
Benefits
Comp & perks- Bonus potential through an incentive pay program based on company performance, job level, and individual performance
- Medical insurance
- Dental insurance
- Vision insurance
- 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