The Role:
General Motors is seeking a Senior AI/ML Scientist to join the Vehicle Mechatronic Embedded Controls (VMEC) organization. In this role, you will design and deploy advanced machine learning solutions that drive innovation across vehicle lifecycle management, diagnostics, and predictive maintenance. You will work on cutting-edge AI technologies, including large language models (LLMs), generative AI, and real-time inference systems, to enable intelligent, scalable solutions for automotive applications.
What You’ll do:
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Develop and deploy production-grade ML models and AI systems for diagnostics, predictive maintenance, and anomaly detection supporting product health.
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Build and optimize LLM-based applications, including Retrieval-Augmented Generation (RAG) systems for technical documentation and automated analysis.
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Implement predictive models for failure detection, remaining useful life, and early warnings.
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Apply advanced ML techniques such as deep learning, NLP, time-series forecasting, and generative AI.
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Create scalable data pipelines and real-time inference systems.
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Collaborate with cross-functional teams and mentor junior engineers.
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Present insights to both technical and non-technical stakeholders and drive adoption of ML solutions through dashboards and APIs.
Your Skills & Abilities (Required Qualifications)
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Bachelor’s degree in Computer Science, Engineering, or related field.
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5+ years of experience deploying ML models in production environments.
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Expertise in Python and ML frameworks (PyTorch, TensorFlow).
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Strong SQL and distributed data processing skills (Spark, Hive).
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Real world experience with ML platforms (Databricks, MLflow, Azure ML).
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Familiarity with cloud platforms and containerization (Docker, Kubernetes).
What Will Give You A Competitive Edge (Preferred Skills)
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Master’s or Ph.D. in a related field.
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8+ years of experience in ML solutions.
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Deep expertise with LLMs, RAG architectures, and vector databases.
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Knowledge of predictive maintenance, anomaly detection, and automotive diagnostics.
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Experience with generative AI technologies and advanced NLP techniques.
Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position, as well as geography of the selected candidate.
• The salary range for this role is 128,700 and 261,300. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
• Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
Benefits:
• 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.
