AI/ML Research Intern — Build Real‑World POCs

General Motors; Mountain View (CA); On-site; USD 55,000 - 83,000; Full time

Job summary

General Motors R&D in Mountain View seeks a highly motivated PhD candidate for an AI/ML research internship. You will conduct original research, build proofs-of-concept, and evaluate methods on real engineering data with senior researchers and engineers to move ideas toward impact.

You should have deep knowledge in at least one AI area, be proficient in Python and ML frameworks, and be able to communicate results clearly.

Qualifications

• Pursuit of a PhD in Computer Science, AI, ML, or related field.
• Must be a current student.
• Able to work full-time, 40 hours per week during summer months.
• Demonstrated depth in at least one relevant area with scholarly contributions.
• Strong foundations in ML and deep learning with exposure to optimization/statistics.

Responsibilities

• Conduct original research in AI areas such as causal AI, neurosymbolic AI, world models, multimodal or generative AI or engineering agents.
• Translate engineering and scientific challenges into well-defined 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 that can reason about physical systems, causal relationships, uncertainty, constraints, temporal evolution, or complex interactions among components.
• Establish meaningful baselines and evaluation protocols; analyze failure modes, robustness, generalization, interpretability, and uncertainty rather than relying only on headline accuracy.
• Build reproducible research code, data-processing workflows, and experiment pipelines using modern deep learning practices.
• Collaborate with GM R&D researchers and engineering partners to understand domain constraints, validate research results, and identify pathways from POCs to practical use.
• Communicate technical findings through research reports, presentations, publications, invention disclosures, demonstrations, and clear documentation.
• Contribute to technical discussions and research roadmaps by identifying promising approaches, important risks, and high-value experiments.
• Participate in a collaborative research culture that values intellectual curiosity, constructive peer review, responsible innovation, and continuous learning.

Skills

ML foundations

Python proficiency

Experiment design

Communication skills

Independent researcher

Reproducibility practices

Education

PhD candidate (CS/AI/ML)

Current student

Tools

PyTorch

JAX

TensorFlow

Job description

General Motors R&D in Mountain View seeks a highly motivated PhD candidate for an AI/ML research internship. You will conduct original research, build proofs-of-concept, and evaluate methods on real engineering data with senior researchers and engineers to move ideas toward impact.

You should have deep knowledge in at least one AI area, be proficient in Python and ML frameworks, and be able to communicate results clearly.