Senior Machine Learning Engineer - AI Research

Senior Machine Learning Engineer

This role is categorized as hybrid. This means the successful candidate is expected to report to the office three times per week or any other frequency dictated by the business. Mt. View, California - Mountain View Technical Center

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 systemsintegrating 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.

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

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 architecturesTransformers, 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

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

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.

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.