Senior Machine Learning Engineer - AI Research

General Motors • Mountain View, CA

78d • $140,000 - $195,000

About The Position

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.

Requirements

• PhD in relevant field or related discipline (STEM focused).
• Post PhD experience in AI/ML, demonstrating advanced AI/ML skill.
• Expert level knowledge about modern deep learning architectures—Transformers, Diffusion Models, CNNs and model training techniques at scale.
• Strong hands-on experience with at least one of the popular AI/ML frameworks (PyTorch, Tensorflow, Keras or JAX).
• Strong programming skills in Python and familiarity with one or more of systems languages (C++/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.

Nice To Haves

• Experience with anomaly detection and predictive maintenance applications.
• Experience with reinforcement learning for robotic control or process optimization.
• Experience training large scale end-to-end multimodal deep learning models.
• Demonstrated research impact in AI/ML technologies either through important publications in top-tier conferences or demonstrated contribution to industry leading systems.

Responsibilities

• 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.

Benefits

• Medical, dental, vision insurance.
• 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.
• Relocation benefits may be available.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Ph.D. or professional degree
• Number of Employees: 5,001-10,000 employees