Role overview
- Adapt machine learning architectures for complex industrial applications, including computer vision, robotic manipulation, predictive maintenance, and process optimization
- Build end-to-end deep learning pipelines that handle multi-modal sensor data (vision, force/torque, proprioception, environmental sensors)
- Contribute to the development of foundation models and transfer learning frameworks that generalize across diverse industrial scenarios and equipment types
- Contribute to the development of data collection and annotation strategies to build high quality datasets for training and validating models in industrial settings
- Work with partner teams to translate technical requirements into ML solutions and support integration efforts
- Own the deployment and monitoring of ML models in production environments
- Publish research findings in top-tier venues (for example, NeurIPS, ICML, CVPR) and contribute to GM’s presence in the research community
Basic qualifications
- Currently pursuing or has completed a PhD in Computer Science, Machine Learning, or a closely related STEM field, or holds a Master’s degree with significant AI/ML contributions with at least one year of relevant industry experience or publications
- Able to work full time, 40 hours per week
- In depth 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)
- Experience with anomaly detection and predictive maintenance applications through course work, research or projects
- Experience with reinforcement learning for robotic control or process optimization through course work, research or projects
- Experience training multimodal deep learning models
- Demonstrated research contributions in AI/ML technologies through publication of PhD research in top- tier conferences or journals
- Ability to formulate research questions from ambiguous problems and apply rigorous experimental methodology including hypothesis formation, evaluation, and statistical analysis
- Demonstrated track record of publications in top AI/ML conferences or patents demonstrating novel contributions to the field
- Strong programming skills in Python and familiarity with one or more of systems languages (C++/Java)
- The salary range for this role is $130,000 - $170,,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
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