Machine Learning Engineer - AI Research (PhD) - Early Career jobs in United States
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General Motors · 2 hours ago

Machine Learning Engineer - AI Research (PhD) - Early Career

General Motors is pioneering how cutting-edge machine learning can transform the automotive industry through their AI Research team. As an Early Career Machine Learning Engineer, you will develop end-to-end AI/ML systems for robotics and manufacturing, collaborating with senior engineers and researchers to translate innovative research into practical applications.

AutomotiveElectric VehicleInformation ServicesManufacturingTransportation
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H1B Sponsor Likelynote

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

Qualification

Machine LearningDeep LearningPythonAI/ML FrameworksRoboticsPredictive MaintenanceResearch PublicationStatistical AnalysisProblem Formulation

Required

Currently has, or is in the process of obtaining a PhD in the field of Computer Science, Machine Learning, or a related field (STEM focused), or a Master's degree with significant ongoing AI/ ML contributions. PhD Degree must be completed prior to joining General Motors
Able to work full time, 40 hours per week

Preferred

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

General Motors

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General Motors is an automotive company that designs, produces, markets, and distributes vehicles and vehicle parts.

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 Company
Total Funding
$8.51B
Key Investors
US Department of Energy
2025-05-05Post Ipo Debt· $2B
2024-10-31Grant· $8M
2024-07-11Grant· $500M

Leadership Team

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Mary Barra
Chair and Chief Executive Officer
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Tony Cervone
Senior Vice President, Global Communications
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Company data provided by crunchbase