Build large, clean, diverse and aligned datasets to improve various self-driving tasks
Design methods to collect data from engineering resources and the customer fleet
Create training materials to teach Data Collection teams how to procure specific data
Train up to hundreds of personnel on the methods/procedures that you designed
Develop auditing and filtering methods to verify data is high quality
Coordinate development and testing of evaluations to verify behavioral improvements to the task you are tackling
Maintain tight feedback loop with Data Collection, AI Engineering and Test teams to ensure new datasets actually improve Self-Driving
Write data queries to mine data from the fleet (Python, JSON-C) and analytics telemetry to measure performance & progress of improving various self-driving tasks
Conduct in-vehicle testing to support engineering development
Generate reports that communicate top issues, release blockers, progress and next steps for various projects
What You’ll Bring
Bachelor's Degree in Computer Science, Engineering, Physics, or Math, or proof of exceptional skills in related field
Ability to thrive in a rapidly changing environment with high ambiguity; self-starter mentality
Familiarity with Python, Pandas, NumPy, SQL, Git, Grafana, & ElasticSearch
Understanding of machine learning and self-driving fundamentals
Excellent work ethic, communication, attention to detail and collaboration skills