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Write fleet queries and Python scripts to source new datasets
Analyze distributions of various components of robot data to spot anomalies.
Write scripts to sanitize data, based on heuristics or learned models.
Develop innovative methods for data acquisition, clustering, and cleaning
Build robust metrics to track model improvements across different dataset mixtures
Write alerts to flag anomalies during data collection
Experience in building large models and large datasets
Experience with Python (Pandas, NumPy) and SQL (PostgreSQL), MATLAB, R
Proficiency in deep learning frameworks such as PyTorch, TensorFlow, or JAX
Strong problem-solving skills and ability to work effectively in cross-functional teams
Strong work ethics and willingness to take on multiple roles
These jobs might be a good fit