Waymo is looking to improve its autonomous driving technology by analyzing complex data, developing tools for data analysis, and adapting state-of-the-art ML models for synthetic data generation and sensor data processing.
Requirements
- Proficiency in programming with SQL and Python (or R), including data manipulation, wrangling, and visualization.
- Strong statistical theory foundation.
- Familiarity with C/C++, with a focus on machine learning applications and complex data analysis.
- Experienced in processing and interpreting various sensor data
- Demonstrated research capabilities through publications and a strong understanding of statistical methodologies and foundation models.
Responsibilities
- Analyze and extract complex data from large tables, exploring predictive features.
- Develop tools for analyzing simulation data, partnering with engineering teams, and leveraging foundation models for workflow automation.
- Adapt state-of-the-art ML models for synthetic scene rendering and sensor data generation, integrating generated data into the Waymo simulation platform, conducting experiments to evaluate quality, and developing new sampling methods.
Other
- Pursuing PhD in a quantitative field (e.g. Statistics, Computer Science, Mathematics, Physics, Engineering)
