Hybrid Senior AI/ML Scientist

at General Motors

• Job title: Senior AI/ML Scientist
• Job type: Full Time
• Experience level: Senior
• Salary: $128,700 - $261,300 per year
• Degree requirement: Bachelor's Degree
• Tech skills: Azure, Cloud, Docker, Kubernetes, Python, PyTorch, Spark, SQL, Tensorflow
• Location requirements: Hybrid, Milford, United States

About the role

• Senior AI/ML Scientist designing and deploying ML solutions for vehicle diagnostics and predictive maintenance. Utilizing cutting-edge AI technologies in a remote/hybrid environment.

Responsibilities

• Design and deploy advanced machine learning solutions that drive innovation across vehicle lifecycle management, diagnostics, and predictive maintenance.
• Develop and deploy production-grade ML models and AI systems for diagnostics, predictive maintenance, and anomaly detection.
• Build and optimize LLM-based applications, including Retrieval-Augmented Generation (RAG) systems.
• Implement predictive models for failure detection and early warnings.
• Create scalable data pipelines and real-time inference systems.
• Collaborate with cross-functional teams and mentor junior engineers.

Requirements

• Bachelor’s degree in Computer Science, Engineering, or related field.
• 5+ years of experience deploying ML models in production environments.
• Expertise in Python and ML frameworks (PyTorch, TensorFlow).
• Strong SQL and distributed data processing skills (Spark, Hive).
• Real world experience with ML platforms (Databricks, MLflow, Azure ML).
• Familiarity with cloud platforms and containerization (Docker, Kubernetes).

Benefits

• GM offers a variety of health and wellbeing benefit programs.
• Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.