Design and build large-scale mapping datasets and data pipelines for ML models.
Create tools for model performance benchmarking and introspection.
Collaborate with ML engineers to refine data curation and training strategies.
Work cross-functionally with perception, planning, prediction, and simulation teams.

🎯 Requirements

BS or MS in CS or related field with 3+ years experience.
Proficient in Python.
Strong statistics: hypothesis testing, experimental design, regression, bootstrapping, time-series.
Experience with large-scale, multi-modal datasets and benchmarking.
Ability to clean and process noisy or ambiguous datasets.
Geospatial data and coordinate systems knowledge.

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