Base: $296,300.00 to $453,900.00; bonus: incentive...
Fully remote
Bachelor's or master's degree in computer science
Proficiency in pytorch and python programming
Experience with large-scale foundation models
This role involves designing and implementing cutting-edge machine learning solutions to reliably navigate diverse real-world scenarios for autonomous driving
Job Summary
This role involves designing and implementing cutting-edge machine learning solutions to reliably navigate diverse real-world scenarios for autonomous driving.
The position requires applying techniques such as unsupervised pre-training, imitation learning, and reinforcement learning to raise model performance and safety.
Successful candidates will be eligible for a company vehicle evaluation program where they can drive and evaluate General Motors vehicles.
Matching Summary
This role involves designing and implementing cutting-edge machine learning solutions to reliably navigate diverse real-world scenarios for autonomous driving.
Salary
Base: $296,300.00 to $453,900.00; Bonus: Incentive pay based on performance; Benefits: Medical, dental, vision, retirement savings plan
Skills & Requirements
Must-have
Bachelor's or Master's degree in Computer Science
Proficiency in PyTorch and Python programming
Experience with large-scale foundation models
Building scalable model training pipelines
Strong data processing skills using Spark
Nice-to-have
Previous experience in Robotics or Autonomous Driving
Mentoring junior team members
Excellent communication skills
Knowledge of AI frameworks and libraries
Key Requirements
PhD preferred in Robotics or Machine Learning
Proven experience delivering applied research
Experience deploying foundation models into production