✨ About The Role
- The role involves developing and applying distributed compute algorithms to analyze large urban driving datasets.
- The candidate will work closely with ML engineers to create backend metrics and frontend tools for system analysis.
- Collaboration with engineers from Perception, Planning, and Simulation teams is necessary to address complex autonomous driving challenges.
- The position requires developing core metrics to measure the performance of machine learning models.
- The candidate will contribute to the advancement of vehicle behavior through behavior forecasting and motion planning.
âš¡ Requirements
- A successful candidate will have a BS, MS, or PhD degree in computer science or a related field.
- Fluency in programming languages such as C++ or Python is essential for this role.
- Extensive experience with programming and algorithm design is required to develop effective machine-learned models.
- Candidates should have experience with petabyte-scale distributed computing, such as Spark or Databricks.
- Strong mathematics skills and knowledge of statistical analysis will be beneficial for analyzing data and model performance.