Staff Machine Learning Engineer: Embodied AI for Automotive and Robotics

About The Company

General Motors (GM) is a leading global automotive manufacturer committed to innovation, sustainability, and safety. With a rich history of engineering excellence, GM is dedicated to transforming mobility through advanced technologies in autonomous driving, electric vehicles, and smart transportation solutions. Our vision is to create a world with Zero Crashes, Zero Emissions, and Zero Congestion, emphasizing a safer, cleaner, and more efficient future for all. We foster a culture of inclusion, collaboration, and continuous improvement, empowering our employees to make a meaningful impact on the future of transportation.

About The Role

We are seeking a highly skilled Staff Machine Learning Engineer specializing in Offboard Embodied AI to join our innovative team in Mountain View, California. This hybrid role requires reporting to the Mountain View Technical Center at least three times per week. As a key member of our AI and ML research division, you will lead the development and deployment of large-scale Foundation Models (FMs) that enhance our autonomous driving and robotics technologies. Your expertise will drive advancements in L2, L3, and L4 autonomous applications, directly impacting the safety, efficiency, and reliability of our automotive solutions. You will collaborate with cross-functional teams, including data scientists, robotics engineers, and software developers, to translate cutting-edge AI research into real-world automotive innovations. This position offers an exciting opportunity to shape the future of mobility through innovative AI models and contribute to a dynamic and forward-thinking organization.

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 Large Language Models (LLMs), Vision-Language Models (VLMs), and vision-focused models.
• Proficiency in AI frameworks such as PyTorch and TensorFlow.
• Experience with libraries like HuggingFace and OpenAI GPT.
• Strong data processing skills utilizing tools like Numpy, Pandas, and Apache Spark.

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• Hands-on experience deploying foundation models into production environments.
• Previous experience in Robotics or Autonomous Driving industries.
• Excellent communication and collaboration skills to work effectively with diverse teams and stakeholders.
  
  

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, including distillation recipes for robotics models.
• Optimize model performance, ensuring efficient training, deployment, and real-time inference capabilities.

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• Conduct research to stay abreast of the latest advancements in AI frameworks, libraries, and methodologies.
• Lead projects from conception through deployment, documenting best practices and lessons learned.
• Mentor junior team members, fostering a culture of knowledge sharing and continuous learning.
• Participate in code reviews, model evaluations, and performance benchmarking to maintain high standards of quality and efficiency.
  
  

Benefits

• Competitive salary within the range of $143,000 to $220,000, commensurate with experience and qualifications.
• Performance-based bonus potential and incentive pay programs.

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• Relocation assistance and benefits for eligible candidates.
• Comprehensive health, dental, and vision insurance plans.
• Retirement savings plans with company matching contributions.
• Paid time off, holidays, and flexible work arrangements.
• Opportunities for professional development, training, and career growth.
• A collaborative and inclusive work environment focused on innovation and impact.
  
  

Equal Opportunity

General Motors is an equal opportunity employer committed to fostering an inclusive workplace. We do not discriminate based on sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy, sexual orientation, gender identity, veteran status, or any other protected characteristic under applicable laws. We believe that diversity and inclusion are essential to our success and strive to create an environment where all employees can thrive and contribute to our mission of transforming mobility. We encourage all qualified candidates to apply and participate in our fair hiring process. Reasonable accommodations are available for applicants with disabilities; please contact us for assistance during the application process.