General Motors · 12 hours ago
Senior Machine Learning Engineer - AI Research (PhD)
Mountain View, CA
Full-time
Hybrid
Senior Level
$140K/yr - $195K/yr
5+ years expGeneral Motors is a leader in automotive innovation, aiming for a world with Zero Crashes, Zero Emissions, and Zero Congestion. They are seeking a Senior Machine Learning Engineer to lead the development of AI/ML systems that address complex challenges in robotics and manufacturing, while shaping GM's AI research agenda and collaborating with a world-class team.
AutomotiveElectric VehicleInformation ServicesManufacturingTransportation
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
Qualification
Required
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
Preferred
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
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.
Company
General Motors
General Motors is an automotive company that designs, produces, markets, and distributes vehicles and vehicle parts.
10001+ employees
H1B Sponsorship
General Motors has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (787)
2024 (740)
2023 (450)
2022 (795)
2021 (748)
2020 (452)
Funding
Current Stage
Public CompanyTotal Funding
$8.51BKey Investors
US Department of Energy
2025-05-05Post Ipo Debt· $2B
2024-10-31Grant· $8M
2024-07-11Grant· $500M
Leadership Team
Mary Barra
Chair and Chief Executive Officer
Tony Cervone
Senior Vice President, Global Communications
Recent News
BNN Bloomberg
2026-01-01
2025-12-30
Company data provided by crunchbase