Hybrid AI/ML Researcher (Entry-Level) – Mountain View

General Motors Corporation

Mountain View (CA)

Hybrid

USD 128,000 - 279,000

Full time

4 days ago
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Job summary

General Motors Corporation in Mountain View, California, seeks an entry-level AI/ML researcher to conduct original research and develop practical AI methods that accelerate GM’s research, engineering, and product development.

The role targets a recent or soon-to-be-completed PhD with deep expertise in advanced AI areas, capable of building reproducible research and communicating results to both technical and non-technical stakeholders.

Qualifications

  • Pursuit or completion of a PhD in CS/AI/ML or related field.
  • Experience developing and evaluating models in Python with ML frameworks.
  • Strong foundations in ML/DL with optimization, statistics, or numerical methods.
  • Ability to design experiments, select metrics and baselines, and communicate results.
  • Willingness to work on-site or hybrid in Mountain View, CA.

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, uncertainty, constraints, temporal evolution, or complex interactions among components.
  • Collaborate with GM R&D researchers and engineering partners to validate results and identify pathways from POCs to practical use.

Skills

Python
PyTorch
JAX
TensorFlow
Research
Experiment design

Education

PhD in Computer Science / AI / ML

Tools

PyTorch
TensorFlow
JAX

Job description

General Motors Corporation in Mountain View, California, seeks an entry-level AI/ML researcher to conduct original research and develop practical AI methods that accelerate GM’s research, engineering, and product development.

The role targets a recent or soon-to-be-completed PhD with deep expertise in advanced AI areas, capable of building reproducible research and communicating results to both technical and non-technical stakeholders.

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