- Develop and improve ML solutions aligned with GM’s autonomous driving objectives.
- Apply techniques such as unsupervised pre-training, imitation learning, reinforcement learning, model scaling/selection, foundation modeling, to solve problems in object detection/tracking/classification, trajectory generation, and safe AI.
- Collaborate with cross-functional teams to deploy models into onboard driving systems.
- Implement and evaluate models, incorporating research advancements into practical applications.
- Contribute to taking ML solutions from experimentation through deployment and production support.
- Participate in code reviews, documentation, and technical discussions to support engineering quality and knowledge sharing.
Your Skills & Abilities
- Bachelor’s or Master’s degree in Computer Science, Robotics, Machine Learning, or related field.
- Experience applying machine learning techniques to real-world systems or large-scale datasets.
- Proficiency in PyTorch and Python.
- Experience working with model training pipelines or large-scale data processing workflows.
- Strong data processing skills using tools such as NumPy, Pandas, and Apache Spark.
- Ability to collaborate effectively within cross-functional engineering teams.
- Experience deploying ML models into production or working within production ML environments preferred.
Remote: This role is based remotely but if you live within a 50-mile radius of Austin, Detroit, Warren, Milford or Mountain View, you are expected to report to that location three times per week, at minimum.
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 the California Bay Area.
- The salary range for this role is $170,600.00 to $261,300.00. 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.