Senior AI/ML Scientist

Job Description

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:

• Develop and deploy production-grade ML models and AI systems for diagnostics, predictive maintenance, and anomaly detection supporting product health.
• Build and optimize LLM-based applications, including Retrieval-Augmented Generation (RAG) systems for technical documentation and automated analysis.
• Implement predictive models for failure detection, remaining useful life, and early warnings.
• Apply advanced ML techniques such as deep learning, NLP, time-series forecasting, and generative AI.
• Create scalable data pipelines and real-time inference systems.
• Collaborate with cross-functional teams and mentor junior engineers.
• Present insights to both technical and non-technical stakeholders and drive adoption of ML solutions through dashboards and APIs.

Your Skills & Abilities (Required Qualifications)

• 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).

What Will Give You A Competitive Edge (Preferred Skills)

• Master's or Ph.D. in a related field.
• 8+ years of experience in ML solutions.
• Deep expertise with LLMs, RAG architectures, and vector databases.
• Knowledge of predictive maintenance, anomaly detection, and automotive diagnostics.
• 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.
GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc).This role is based remotely, but if the selected candidate lives within a specific mile radius of a GM hub, they will be expected to report to the location three times a week {or other frequency dictated by your manager}.This job is not eligible for relocation benefits. Any relocation costs would be the responsibility of the selected candidate.
About GM

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Why Join Us

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Benefits Overview

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We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.

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