Waymo is looking to solve the problem of measuring the performance of its ML models deployed in the Waymo Driver, which is critical for the safety and reliability of its autonomous driving technology.
Requirements
- Proficiency in programming in Python or C++
- Knowledge of AI fundamentals, such as transformer architectures, distillation techniques, etc.
- Familiarity with one of the modern deep learning frameworks (e.g. JAX, Tensorflow, Pytorch)
- Experience evaluating the quality of ML models
Responsibilities
- Develop novel metrics and sampling techniques to measure the driving trajectories generated by ML models.
- Employ creative simulation strategies to measure the driving performance of generative AI models. Identify potential edge cases, and provide reliable performance insights that inform model development and deployment.
- Build data pipelines for signal discovery, data labeling, feature extraction and metric computation based on large-scale simulations.
- Conduct data analysis to diagnose regressions in ML models.
- Collaborate with world-class engineering and research teams that develop large-scale ML models.
Other
- BS/MS/PhD in Computer Science, Machine Learning, Robotics, Statistics, Physics, Math or another quantitative area
- Demonstrated industry or research experience with creative problem solving and rigorous data analysis of open-ended quantitative problems
- Eligibility to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.
