General Motors
Staff ML Engineer - Offboard Embodied AI
General Motors, Mountain View, California, United States, 94043
Job Description
Hybrid: This role is categorized as hybrid. The successful candidate is expected to report to the Mountain View Technical Center in the Bay Area three times per week, at minimum. Role: In this role, you will be at the forefront of developing and deploying large-scale Foundation Models (FMs) that enhance our automotive technologies at General Motors focused on Autonomous Driving & Robotics. You will work closely with a dynamic team of AI and ML researchers, data scientists and engineers who are passionate about leveraging advanced AI techniques to drive innovation for L2, L3 and L4 applications. Your contributions will directly impact our ability to deliver cutting-edge solutions that meet the needs of our customers. Additional Job Description
Your Skills & Abilities: Bachelors, Masters or PhD degree in Computer Science with a focus in Robotics and or Machine Learning, or a related field. Proven experience working with large-scale Foundation Models, including LLMs, VLAs and vision-focused models. Proficiency in frameworks such as PyTorch and TensorFlow, with experience in libraries like HuggingFace and OpenAI GPT. Strong data processing skills using tools like Numpy, Pandas and Apache Spark. Excellent communication skills to effectively collaborate with diverse teams and stakeholders. Experience deploying foundation models into production environments and understanding the end-to-end process. Previous experience in Robotics or Autonomous Driving. Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington. The salary range for this role is $143,000 to $220,000. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position. Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance. Relocation: This job may be eligible for relocation benefits.
Hybrid: This role is categorized as hybrid. The successful candidate is expected to report to the Mountain View Technical Center in the Bay Area three times per week, at minimum. Role: In this role, you will be at the forefront of developing and deploying large-scale Foundation Models (FMs) that enhance our automotive technologies at General Motors focused on Autonomous Driving & Robotics. You will work closely with a dynamic team of AI and ML researchers, data scientists and engineers who are passionate about leveraging advanced AI techniques to drive innovation for L2, L3 and L4 applications. Your contributions will directly impact our ability to deliver cutting-edge solutions that meet the needs of our customers. Additional Job Description
Your Skills & Abilities: Bachelors, Masters or PhD degree in Computer Science with a focus in Robotics and or Machine Learning, or a related field. Proven experience working with large-scale Foundation Models, including LLMs, VLAs and vision-focused models. Proficiency in frameworks such as PyTorch and TensorFlow, with experience in libraries like HuggingFace and OpenAI GPT. Strong data processing skills using tools like Numpy, Pandas and Apache Spark. Excellent communication skills to effectively collaborate with diverse teams and stakeholders. Experience deploying foundation models into production environments and understanding the end-to-end process. Previous experience in Robotics or Autonomous Driving. Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington. The salary range for this role is $143,000 to $220,000. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position. Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance. Relocation: This job may be eligible for relocation benefits.