General Motors
Senior Machine Learning Engineer - AI Research
General Motors, Mountain View, California, us, 94039
Senior Machine Learning Engineer - AI Research
Our AI Research team, reporting directly to the Chief AI Officer, is pioneering how cutting‑edge machine learning can transform the way vehicles are designed, manufactured, and experienced. We are building the next generation of intelligent systems—integrating multimodal foundation models, generative AI, robotics and predictive maintenance into real‑world automotive innovation at global scale.
What You’ll Do:
Design and implement novel machine learning architectures for complex industrial applications, including computer vision, robotic manipulation, predictive maintenance, and process optimization.
Develop end‑to‑end deep learning pipelines that handle multi‑modal sensor data (vision, force/torque, proprioception, environmental sensors).
Create foundation models and transfer learning frameworks that generalize across diverse industrial scenarios and equipment types.
Collaborate with cross‑functional teams—including robotics engineers, SMEs and product teams—to understand requirements and translate them into ML systems for production.
Develop data collection and annotation strategies to build high‑quality datasets for training and validating models in industrial settings.
Stay current with state‑of‑the‑art methods in ML/AI and share knowledge through internal tech talks and presentations.
Required Qualifications:
PhD in a relevant field or related discipline (STEM focused).
Post‑PhD or equivalent industry experience in AI/ML research and applied development, demonstrating advanced expertise in designing and implementing modern machine learning systems.
Expert knowledge of modern deep learning architectures and techniques—including Transformers, Diffusion Models, CNNs—and hands‑on experience training large‑scale models.
Proficiency with leading ML frameworks such as PyTorch, TensorFlow, JAX, or Keras, and strong software engineering practices for scalable, efficient experimentation.
Strong programming skills in Python, with working knowledge of at least one systems language (e.g., C++ or Java).
Demonstrated track record of publications in top AI/ML conferences or patents demonstrating novel contributions to the field.
Ability to decompose ambiguous problems into tractable research questions and follow rigorous experimental methodology—including hypothesis formation, data collection, evaluation, and statistical analysis.
Preferred Qualifications:
Experience developing AI systems for anomaly detection, fault diagnosis, or predictive maintenance in complex environments (e.g., automotive, manufacturing, robotics, or industrial systems).
Hands‑on experience with reinforcement learning, particularly for robotic control, simulation‑to‑real transfer, or large‑scale process optimization.
Proven ability to train and optimize large‑scale multimodal deep learning models, integrating modalities such as vision, language, and sensor data.
Demonstrated research or applied innovation impact through publications at top‑tier AI/ML venues (e.g., NeurIPS, ICML, CVPR, ICRA) or contributions to production‑grade, industry‑leading AI systems.
Location: This role is categorized as hybrid. The successful candidate is expected to report to the MTV office three times per week or any other frequency dictated by the business.
Compensation:
Salary range: $135,000 – $185,000. The actual base salary offered will vary based on factors relevant to the position and the candidate’s geography.
Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
Benefits:
Health and wellbeing benefit programs including medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance, employee assistance program, GM vehicle discounts, and more.
Relocation benefits may be available for this position.
Non‑Discrimination and Equal Employment Opportunities (U.S.) General Motors is committed to being a workplace that is free of unlawful discrimination and fosters inclusion. All employment decisions are made on a non‑discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.
Accommodations If you need reasonable accommodations to assist with your job search or application, please email us or call 800‑865‑7580 and include a description of the accommodation requested along with the job title and requisition number.
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What You’ll Do:
Design and implement novel machine learning architectures for complex industrial applications, including computer vision, robotic manipulation, predictive maintenance, and process optimization.
Develop end‑to‑end deep learning pipelines that handle multi‑modal sensor data (vision, force/torque, proprioception, environmental sensors).
Create foundation models and transfer learning frameworks that generalize across diverse industrial scenarios and equipment types.
Collaborate with cross‑functional teams—including robotics engineers, SMEs and product teams—to understand requirements and translate them into ML systems for production.
Develop data collection and annotation strategies to build high‑quality datasets for training and validating models in industrial settings.
Stay current with state‑of‑the‑art methods in ML/AI and share knowledge through internal tech talks and presentations.
Required Qualifications:
PhD in a relevant field or related discipline (STEM focused).
Post‑PhD or equivalent industry experience in AI/ML research and applied development, demonstrating advanced expertise in designing and implementing modern machine learning systems.
Expert knowledge of modern deep learning architectures and techniques—including Transformers, Diffusion Models, CNNs—and hands‑on experience training large‑scale models.
Proficiency with leading ML frameworks such as PyTorch, TensorFlow, JAX, or Keras, and strong software engineering practices for scalable, efficient experimentation.
Strong programming skills in Python, with working knowledge of at least one systems language (e.g., C++ or Java).
Demonstrated track record of publications in top AI/ML conferences or patents demonstrating novel contributions to the field.
Ability to decompose ambiguous problems into tractable research questions and follow rigorous experimental methodology—including hypothesis formation, data collection, evaluation, and statistical analysis.
Preferred Qualifications:
Experience developing AI systems for anomaly detection, fault diagnosis, or predictive maintenance in complex environments (e.g., automotive, manufacturing, robotics, or industrial systems).
Hands‑on experience with reinforcement learning, particularly for robotic control, simulation‑to‑real transfer, or large‑scale process optimization.
Proven ability to train and optimize large‑scale multimodal deep learning models, integrating modalities such as vision, language, and sensor data.
Demonstrated research or applied innovation impact through publications at top‑tier AI/ML venues (e.g., NeurIPS, ICML, CVPR, ICRA) or contributions to production‑grade, industry‑leading AI systems.
Location: This role is categorized as hybrid. The successful candidate is expected to report to the MTV office three times per week or any other frequency dictated by the business.
Compensation:
Salary range: $135,000 – $185,000. The actual base salary offered will vary based on factors relevant to the position and the candidate’s geography.
Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
Benefits:
Health and wellbeing benefit programs including medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance, employee assistance program, GM vehicle discounts, and more.
Relocation benefits may be available for this position.
Non‑Discrimination and Equal Employment Opportunities (U.S.) General Motors is committed to being a workplace that is free of unlawful discrimination and fosters inclusion. All employment decisions are made on a non‑discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.
Accommodations If you need reasonable accommodations to assist with your job search or application, please email us or call 800‑865‑7580 and include a description of the accommodation requested along with the job title and requisition number.
#J-18808-Ljbffr