General Motors is seeking to transform transportation through software-driven innovation, with a focus on Artificial Intelligence and Data Science to achieve Zero Crashes, Zero Emissions, and Zero Congestion.
Requirements
- Demonstrated expertise with LLMs, transformer architectures, AI agents, or simulation-integrated models.
- Strong experience in Python, major ML frameworks (e.g., PyTorch, TensorFlow, HuggingFace Transformers), SQL, and signal processing libraries (PyWavelets, Tsfresh).
- Experience with retrieval-augmented generation (RAG), prompt engineering, and embedding optimization.
- Knowledge of ML modeling and toolsets (e.g. Scikit-learn, XGBoost for classification/regression tasks)
- Experience with MLOps tools and deploying models via containerized microservices on cloud platforms.
- Proven ability to lead technical direction and deliver production-ready AI/ML systems at scale.
- Strong interpersonal and communication skills and a willingness to collaborate cross-functionally with different teams.
Responsibilities
- Prototype, and productionize scalable AI systems, with an emphasis on LLMs, simulation-aware models, and hybrid AI pipelines.
- Lead AI/ML integration into core engineering tools and simulation frameworks, ensuring robustness, interpretability, and physical relevance of outputs.
- Evaluate and define the appropriate use of RAG systems, fine-tuning vs. zero/few-shot learning strategies, and feedback loops for continuous improvement.
- Drive forward-thinking initiatives involving multi-agent AI systems, context-aware simulation orchestration, or generative design techniques.
- Develop custom feature extraction methods for predictive modeling then used in optimizations.
- Apply statistical methods, anomaly detection, and clustering to uncover patterns.
- Work with large scale data sets and collaborate with subject matter experts to incorporate physical interpretations of insights
Other
- Bachelor’s in Computer Science, Engineering, Mathematics, or related field (particularly in NLP, simulation AI, or reinforcement learning).
- 7+ years of experience building and deploying advanced machine learning or deep learning systems in production.
- Strong interpersonal and communication skills and a willingness to collaborate cross-functionally with different teams.
- Must be willing to report to Milford, Michigan three times per week, at minimum.
- Must be eligible to participate in a company vehicle evaluation program