Staff Machine Learning Engineer for Offboard Embodied AI

About the Company

General Motors (GM) is a global leader in automotive manufacturing and innovation, committed to shaping the future of mobility. With a focus on zero crashes, zero emissions, and zero congestion, GM strives to create safer, cleaner, and more efficient transportation solutions. The company emphasizes technological advancement and sustainability, investing heavily in research and development to lead the automotive industry into a new era of autonomous driving and robotics. GM’s culture fosters innovation, inclusion, and continuous improvement, making it an ideal environment for talented professionals dedicated to making a meaningful impact on the world.

About the Role

The Staff Machine Learning Engineer for Offboard Embodied AI at GM will play a pivotal role in developing and deploying large-scale Foundation Models that enhance autonomous driving technologies. Based in Mountain View, California, with a hybrid work model requiring onsite presence at least three times per week, this position offers an exciting opportunity to work at the forefront of AI and robotics innovation. The successful candidate will collaborate with a multidisciplinary team of researchers, data scientists, and engineers to design, optimize, and implement foundation models such as large language models (LLMs), vision models, and multimodal architectures. Your work will directly influence GM’s capabilities in autonomous driving levels 2, 3, and 4, contributing to safer, smarter, and more reliable automotive solutions. You will lead projects from conception through deployment, mentor junior team members, and stay abreast of the latest advancements in AI frameworks and technologies, ensuring GM remains at the cutting edge of the industry.

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, including LLMs, VLAs, and vision-focused models.
• Proficiency in AI frameworks such as PyTorch and TensorFlow.
• Experience with libraries like HuggingFace and OpenAI GPT.

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• Strong data processing skills using tools like Numpy, Pandas, and Apache Spark.
• Hands-on experience deploying foundation models into production environments.
• Previous experience in Robotics or Autonomous Driving is highly desirable.
• Excellent communication and collaboration skills to work effectively across diverse teams.
• Ability to analyze, optimize, and improve model performance for real-world applications.

Responsibilities

• Design, develop, and implement large-scale Foundation Models tailored for automotive and robotics applications.
• Collaborate with cross-functional teams to integrate foundation models into onboard and offboard systems.

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• Optimize model training and inference processes to ensure efficiency and scalability.
• Conduct research to stay current with the latest advancements in AI, robotics, and machine learning frameworks.
• Lead projects from ideation to deployment, documenting best practices and lessons learned.
• Mentor junior team members, fostering a culture of continuous learning and innovation.
• Analyze model performance and troubleshoot issues to enhance robustness and reliability.
• Contribute to the development of distillation recipes and other techniques to improve model deployment in embedded systems.

Benefits

• Competitive salary range of $143,000 to $220,000, commensurate with experience.

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• Performance-based incentive pay and bonus potential.
• Relocation assistance and benefits for eligible candidates.
• Comprehensive health, dental, and vision insurance coverage.
• Retirement plans and savings programs.
• Paid time off, holidays, and flexible work arrangements.
• Opportunities for professional development and continuous learning.
• A collaborative and inclusive work environment committed to diversity and belonging.

Equal Opportunity

General Motors is an equal opportunity employer and values diversity in its workforce. We are committed to creating a workplace free from discrimination and harassment, where all employees are treated with respect and dignity. All employment decisions are made based on merit, qualifications, and business needs without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy, sexual orientation, gender identity, veteran status, or any other protected characteristic.