General Motors
Senior Machine Learning Engineer - AI Research
General Motors, Troy, Michigan, United States, 48083
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.
As a Senior Machine Learning Engineer, you will lead the development of end‑to‑end AI/ML systems that solve high‑stakes problems in robotics and manufacturing at scale. You will actively participate in the design, prototyping, and deployment of state‑of‑the‑art AI models with direct application to vehicle design, manufacturing operations, robotics, and simulation of physical systems. Beyond technical execution, you will shape and implement GM’s AI research agenda, join a world‑class team of scientists and engineers, and represent GM in the global AI community.
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 those to develop ML systems for production systems.
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 level knowledge about modern deep learning architectures and techniques including Transformers, Diffusion Models, CNNs with 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. This means the successful candidate is expected to report to the MTV office three times per week or any other frequency dictated by the business.
Compensation
The salary range for this role is $135,000 – $185,000. 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
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.
This job may be eligible for relocation benefits.
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As a Senior Machine Learning Engineer, you will lead the development of end‑to‑end AI/ML systems that solve high‑stakes problems in robotics and manufacturing at scale. You will actively participate in the design, prototyping, and deployment of state‑of‑the‑art AI models with direct application to vehicle design, manufacturing operations, robotics, and simulation of physical systems. Beyond technical execution, you will shape and implement GM’s AI research agenda, join a world‑class team of scientists and engineers, and represent GM in the global AI community.
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 those to develop ML systems for production systems.
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 level knowledge about modern deep learning architectures and techniques including Transformers, Diffusion Models, CNNs with 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. This means the successful candidate is expected to report to the MTV office three times per week or any other frequency dictated by the business.
Compensation
The salary range for this role is $135,000 – $185,000. 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
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.
This job may be eligible for relocation benefits.
#J-18808-Ljbffr