Anvil Robotics
Head of Robot Learning
San Francisco, CA · Full-time
Sponsorship not specifiedDetected 6 days ago
LinuxMachine LearningSupply ChainProcurementRoboticsResearchCollaboration
About the role
- You'll be Anvil's first robot learning hire - the person who takes the papers everyone is retweeting, gets them running on our hardware in weeks, and ships them as demos and guides polished enough that the whole field notices.
- And here's what makes this seat unusual: not how much data we have - how much leverage you'd have over what gets collected.
- Most robot learning engineers work with whatever data someone else decided to collect, on rigs they can't change.
Responsibilities
- We design and build our own UMI-style handheld collector in-house, on our own
- We have factory access most teams can't get - our own facility and our investors' and partners' plants - meaning differentiated, real-industrial-task data rather than the same recycled public datasets.
Requirements
- Given a paper and a repo, you know what will transfer, what won't, and where the unreported gotchas hide.
- You have data instincts: you can scrub through teleop demonstrations and see what's wrong - inconsistent grasps, occlusions, timing skew - before wasting a training run on it.
- Your projects end with a guide, a video, and a repo with a README - and you know the difference between a demo that worked once on camera and one with a measured success rate you'd defend.
- Master's or Bachelor's in CS, robotics, or a related field - a PhD is explicitly not required or expected, and a publication record is not the bar.
- You have a written map of where our stack fights you.
Nice to have
- Based in or willing to relocate to San Francisco, Hong Kong, or Taipei.
- Years matter less to us than trajectory.
- This role is the first time the wheel is yours.
- public demos that got real reach
- RL fine-tuning on real hardware.
Skills
- real motors, real cameras, real failures.
Benefits
- Flexible hours for cross-timezone collaboration either way.
- You are hire #1 for the entire robot learning function, and for the foreseeable future the team is you.
- Robot learning is compounding weekly - VLAs, diffusion policies, ACT, world models.
Company info
- Anvil is building the platform layer for Physical AI - robotics hardware and software that's radically more accessible than legacy industrial solutions.
- In our first 12 months we built and shipped 200+ robots (OpenARM and OpenYAM manipulators, Linux Devboxes, teleop kits, and a UMI-style handheld data-collection device) to customers in 60+ countries, doing over $2.1M in revenue on our own Taipei manufacturing line.
- A flagship replication is simultaneously marketing to the exact community that buys us and the enablement guide our customers follow.
- This role needs to sit with robots, cameras, and a GPU box, wherever that is - Taipei puts you next to the hardware team, SF next to the demo room and customers.
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This listing is sourced directly from Anvil Robotics's careers page and normalized into a canonical job model.