Software Engineer - Perception / Mapping Data
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.
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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