Role overview
- 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 requirement s 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
Basic qualifications
- 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 l east one of the popular AI/ML frameworks ( Py T orch , 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, evalu a tion and statistical analysis
Preferred qualifications
- 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 $ 140,000- $195 ,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 .
- 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.
About the company
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.
Tags & focus areas
Used for matching and alerts on DevFound Fulltime Ai Machine Learning Robotics Generative Ai