Principal Machine Learning Scientist - Trajectory...
Role details
Job location
Tech stack
Job description
As a Principal Technical Lead in Trajectory Generation within the Embodied AI organization, you will be a senior individual contributor driving cutting-edge end-to-end machine learning solutions directly impacting autonomous driving performance. Your role is pivotal in designing, architecting, and deploying advanced ML models to reliably and safely navigate diverse real-world scenarios and conditions. You'll lead critical technical initiatives, collaborate closely with cross-functional teams, mentor ML engineers, and significantly shape the future of onboard ML capabilities.
What You'll Do:
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Design and implement technologies that align our models to GM's mission.
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Apply techniques such as RL, guidance, and selection to raise the performance of our models and provide a layer safety and reliability.
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Collaborate with cross-functional teams to integrate & align distillation recipes of Robotics foundation models for onboard driving models.
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Conduct research and stay updated on the latest advancements in AI frameworks and libraries.
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Lead projects from ideation to deployment, documenting learnings and best practices along the way.
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Mentor junior team members and contribute to a culture of knowledge sharing and continuous improvement., Company Vehicle: Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies.
Requirements
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Bachelor's, Master's or PhD degree in Computer Science with a focus in Robotics and or Machine Learning, or a related field.
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Proven experience working with large-scale Foundation Models andalignment methods to translate research into real-world impact.
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Proven experience delivering applied research in the wild and maintaining best practices while working on tight deadlines.
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Proficiency in frameworks such as PyTorch and languages such as python.
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Proven experience in building and scaling large model training pipelines that are performant and enable quick iteration by distributed teams.
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Strong data processing skills using tools like Numpy, Pandas, and Apache Spark.
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Excellent communication skills to effectively collaborate with diverse teams and stakeholders.
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Experience deploying foundation models into production environments and understanding the end-to-end process.
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Previous experience in Robotics or Autonomous Driving.
Benefits & conditions
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 the California Bay Area.
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The salary range for this role is $ 269,400.00 to $412,600.00. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
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Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
Benefits:
- Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include 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.