General Motors is a leader in automotive innovation, and they are seeking an Early Career Machine Learning Engineer to contribute to their AI Research team. The role involves developing end-to-end AI/ML systems for robotics and manufacturing, while collaborating with senior engineers and researchers to translate cutting-edge research into practical applications.
Responsibilities
- 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
Skills
- 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)
Benefits
- 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
- Relocation benefits
Company Overview
General Motors is an automotive company that designs, produces, markets, and distributes vehicles and vehicle parts. It was founded in 1908, and is headquartered in Detroit, Michigan, USA, with a workforce of 10001+ employees. Its website is https://www.gm.com.Company H1B Sponsorship
General Motors has a track record of offering H1B sponsorships, with 132 in 2026, 787 in 2025, 740 in 2024, 450 in 2023, 795 in 2022, 748 in 2021, 452 in 2020. Please note that this does not guarantee sponsorship for this specific role.