In this role, you will:
- Develop and apply distributed compute algorithms to efficiently analyze petabytes of urban driving data
- Develop the core metrics that measures performance for our ML models
- Work closely with ML engineers to develop backend metrics and frontend tools for analyzing errors and understanding improvements in our systems
- Collaborate with engineers on Perception, Planning, and Simulation to solve the overall Autonomous Driving problem in complex urban environments
Qualifications
- BS, MS, or PhD degree in computer science or related field
- Fluency in C++ or Python
- Extensive experience with programming and algorithm design
- Experience with petabyte-scale distributed computing (Spark, Databricks, generic MapReduce pipelines)
Bonus Qualifications
- Experience with production Machine Learning pipelines: dataset creation, training frameworks, metrics pipelines
- Experience with latency of analysis and optimization of safety critical software systems
- Prior experience with Prediction and/or autonomous vehicles in general
- Strong mathematics skills
- Knowledge of statistical analysis
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