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Robot Learning Engineer (Machine Learning)

Raydar • United States
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Own robot learning end-to-end, from data ingestion to deployed policy. Build pipelines for terabytes of robot data, post-train models, and set data/model standards. Requires hands-on robotics experience, applied ML engineering, and proficiency in Python/PyTorch/JAX.

Key Highlights
Own robot learning end-to-end (data to deployed policy)
Work with real robots, not academic research
Hands-on experience with physical robots (manipulators, drones, autonomous vehicles)
Key Responsibilities
Build pipelines for ingesting and quality-checking terabytes of robot data daily
Post-train models and set up fast, reliable training pipelines
Calibrate hardware and run data QC for model performance
Set company standards for data processing and model training
Track and apply new robot learning research
Technical Skills Required
Python PyTorch/JAX Robotics/Applied Machine Learning
Benefits & Perks
$150K-$250K base salary
0.1% to 1% equity
Medical, dental, and vision insurance
Relocation assistance
Visa sponsorship and transfers supported
Nice to Have
Experience at leading robotics or autonomous vehicle companies
Defense-tech experience
C++ or Rust proficiency
Distributed training or low-level GPU programming experience

Job Description

About the company

Our client is an early-stage robotics company building robots to help re-industrialize America, starting with electronics manufacturing. It designs its own hardware and trains its own models, is backed by top-tier venture firms, and plans to grow to about 20 people.

The role

Raydar is recruiting for this role on behalf of our client. You will own robot learning end to end, from data to deployed policy. The team just passed 100 hours of robot data and is scaling collection fast. This is applied work on real robots, not research for its own sake.

What you'll do

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