Develops large-scale HD mapping datasets, data pipelines, and benchmarking tools for autonomous driving ML models. Collaborates with ML and cross-functional teams on data curation and performance improvements. Requires 3+ years experience with Python, TypeScript, React.
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About the role
Responsibilities
Design and build a high-quality, large-scale mapping dataset and data pipelines for training and evaluating machine learning models
Design and build tools for model performance benchmarking and introspection
Collaborate closely with machine learning engineers to define and refine data curation and model training strategies that drive measurable improvements in model accuracy and performance
Collaborate cross-functionally with a variety of teams working on perception, planning, prediction, simulation, etc
Qualifications
BS or MS in Computer Science or related field and 3+ years of experience
Proficient in Python, TypeScript, React
Experience with large-scale, multi-modal datasets, and web tooling for model benchmarking and introspection
Ability to identify, clean, and process datasets containing high levels of noise or ambiguous classifications
Bonus Qualifications
Proficient in C++
Experience in computer vision, machine learning algorithms
Knowledge of geospatial data and coordinate systems
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