Work closely with senior technologists to train, optimize and evaluate vehicle-oriented Machine Learning models
Work cross functionally with Perception, Behavior, Integration, Test and Data teams to ensure the highest quality in model performance and deployment

Bachelor’s or Master’s degree in Robotics, Computer Science, Computer Engineering, or a related field with strong mathematical and engineering foundations.
A minimum of 2 years training, optimizing and/or evaluating ML Models in a commercial environment.
Proficiency in C/C++/Python/PyTorch and experience in Linux environments.
Experience optimizing ML models for resource-constrained hardware (desirable).
Experience with CUDA and GPU processing techniques (desirable).
Proficiency with hard example mining, active learning or dataset composition techniques (desirable).
Experience calculating metrics for and evaluating autonomous vehicle models (desirable).
Experience building training and evaluation pipelines for large data (>100TB) or large model (>100GB) applications (desirable).

Comprehensive healthcare suite including medical, dental, vision, life, and disability plans. Domestic partners who have been residing together at least one year are also eligible to participate.
Health Savings and Flexible Spending Healthcare and Dependent Care Accounts available.
Rich retirement benefits, including an immediately vested employer safe harbor match.
Generous paid parental leave as well as a phased return to work.
Flexible vacation policy in addition to paid company holidays.
Total Wellness Program providing numerous resources for overall wellbeing

Machine Learning Engineer II

Key skills