General Motors is transforming transportation through software-driven innovation and needs to build scalable, AI-driven solutions that deliver measurable impact across engineering and customer experience by leveraging vehicle telemetry and software integration data.
Requirements
- 5+ years of experience building and deploying advanced machine learning or deep learning systems in production.
- Strong experience in Python, major ML frameworks (e.g., PyTorch, TensorFlow, HuggingFace Transformers), SQL, and signal processing libraries (PyWavelets, Tsfresh)
- 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.
- Data Visualization using PowerBI, Databricks Apps, Azure Apps
- Experience with retrieval-augmented generation (RAG), prompt engineering, and embedding optimization.
- Demonstrated expertise with LLMs, transformer architectures, AI agents
Responsibilities
- Prototype, and productionize scalable AI systems, with an emphasis on hybrid AI pipelines including LLMs.
- Lead AI/ML analysis of vehicle engineering and telemetry data ensuring robustness, interpretability, and physical relevance of outputs.
- 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
- Leverage advanced data analytics and signal processing techniques to extract actionable insights from complex telemetry datasets
- Create interactive data visualizations to communicate and interpret complex data
- Design and build supervised and unsupervised ML models
Other
- This role is based remotely but if you live within a 50-mile radius of Warren (MI), Austin (TX), or Mountain View (CA), you are expected to report to that location three times a week, at a minimum.
- Collaborate cross-functionally with engineers, data scientists, and domain experts to deliver high-impact solutions that improve vehicle quality and customer satisfaction.
- Contribute to executive decision-making, product launch strategies, and data-driven quality improvements while staying ahead in a fast-paced, evolving tech landscape.
- Exceptional analytical and independent problem-solving capabilities
- Strong listening and communication skills and ability to collaborate cross-functionally.
