ML Engineer - Remote

About The Company

General Motors is a global leader in automotive manufacturing and innovation, committed to transforming mobility through cutting-edge technology and human-centered design. Our product teams are dedicated to creating vehicles and experiences that are not only seen but also felt, redefining what is possible in transportation. From advanced hardware and battery systems to intuitive software, safety features, and entertainment options, GM is shaping the future of mobility. Our mission is to move millions of people safely, smarter, and more connected while continuously pushing the boundaries of innovation to set new industry standards.

About The Role

We are seeking a Principal Technical Lead in Embodied AI Data Foundations to join our Data Scaling team. In this senior individual contributor role, you will be at the forefront of developing end-to-end machine learning solutions that leverage diverse data sources, including real-world and synthetic datasets, to enhance autonomous vehicle performance. Your expertise will drive the design, architecture, and deployment of data curation and training pipelines, ensuring our models can reliably navigate complex real-world scenarios. You will lead critical technical initiatives, collaborate with cross-functional teams, mentor engineers, and influence the future of GM's autonomous driving capabilities. This position offers an exciting opportunity to impact the safety, reliability, and scalability of autonomous vehicle technology on a global scale.

Qualifications

• Bachelor’s, Master’s, or PhD degree in Computer Science, Robotics, Machine Learning, or a related field
• Proven experience working with large-scale Foundation Models and alignment techniques
• Experience translating research into impactful real-world applications
• Proficiency in AI frameworks such as PyTorch and programming languages like Python
• Experience building and scaling large model training pipelines in distributed environments
• Strong data processing skills using tools such as Numpy, Pandas, and Apache Spark
• Knowledge of deploying foundation models into production environments
• Previous experience in Robotics or Autonomous Driving is highly desirable
• Excellent communication and collaboration skills
• Ability to work effectively in remote or hybrid work settings

Responsibilities

• Design and implement innovative technologies aligned with GM’s mission for autonomous vehicle development
• Develop and apply advanced techniques such as unsupervised pre-training, imitation learning, reinforcement learning, and model guidance to enhance performance and safety
• Collaborate with cross-functional teams to integrate and optimize foundation model distillation recipes for onboard driving systems
• Conduct research to stay abreast of the latest advancements in AI frameworks, libraries, and methodologies
• Lead projects from conception through deployment, ensuring best practices and thorough documentation
• Mentor junior engineers, fostering a culture of continuous learning and knowledge sharing
• Build scalable, high-performance data pipelines and ML models that support iterative development and deployment cycles
• Ensure models are robust, safe, and capable of handling diverse real-world driving conditions

Benefits

• Comprehensive health and wellbeing programs including medical, dental, and vision coverage
• Health Savings Account (HSA) and Flexible Spending Accounts (FSA)
• Retirement savings plan with company match
• Sickness and accident benefits, life insurance
• Paid vacation and holidays
• Tuition assistance programs and employee assistance resources
• GM vehicle discounts and potential participation in the company vehicle evaluation program
• Relocation benefits (where applicable)

Equal Opportunity

General Motors is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, or any other protected status under applicable law.