Machine Learning Engineer - AI Research

General Motors • Mountain View, CA

78d • $130,000 - $170,000 • Hybrid

About The Position

As a Machine Learning Engineer, you will contribute to the development of end-to-end AI/ML systems that solve high-stakes problems in robotics and manufacturing at scale. You will work closely with senior engineers and researchers to design, prototype, and deploy state-of-the-art AI models with direct application to vehicle design, manufacturing operations, robotics, and simulation of physical systems. You will have the opportunity to translate cutting-edge research into production systems, collaborate with a world-class team of scientists and engineers, and grow your expertise while contributing to GM's AI research agenda and engaging with the broader AI community.

Requirements

• PhD in relevant field or related discipline (STEM focused) or Masters degree with significant ongoing AI/ML contributions
• 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)
• 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 formulate research questions from ambiguous problems and apply rigorous experimental methodology including hypothesis formation, evaluation, and statistical analysis
• Able to work full time, 40 hours per week

Nice To Haves

• 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

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

Benefits

• GM offers a variety of health and wellbeing benefit programs including 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Industry: Transportation Equipment Manufacturing
• Education Level: Ph.D. or professional degree
• Number of Employees: 5,001-10,000 employees