📋 Description

• Bridge model architecture and data infra for continuous learning in perception.
• Design scalable data pipelines for sensor data mining and ingestion.
• Deploy active learning to select informative data for training.
• Manage lifecycle of data: select novel scenarios, prune corpus.
• Collaborate with researchers and ops to iterate end-to-end.

🎯 Requirements

• Bachelor’s in ML, Robotics, or CS; 3+ years ML/vision exp.
• Hands-on active learning in production.
• Experience building large-scale ML data pipelines.
• Deep data curation: balancing, core set selection, sampling.
• Proficiency in Python and PyTorch or JAX.
• Strong production-grade software engineering skills.

🎁 Benefits

• Discretionary annual bonus program.
• Equity incentive plan.
• Generous company benefits program.