Quick Summary
Overview
About the role We are looking for high-impact researchers and engineers to help bridge the gap between robot foundation models and production robot deployment.
Technical Tools
Data ScientistData
About the Role
~1 min readWe are looking for high-impact researchers and engineers to help bridge the gap between robot foundation models and production robot deployment. Speed and reliability are the two metrics that matter the most for industrial customers, yet most robot models struggle on both. You will post-train robot foundation models and do new research to hill climb task performance in our research lab and at real customer deployments.
Responsibilities
~1 min read- →Improve our robots’ ability to quickly learn new tasks and to execute those tasks quickly and reliably
- →Lead research efforts around improving our models’ robustness and performance for real world tasks
- →Integrate trained models with our production robotics stack and work with deployment teams to scale models across real customer sites
- Have experience with fine-tuning large models for downstream tasks (IL, RL, etc.)
- Operate with high agency and are able to own significant research efforts end to end
- Care deeply about evaluation, benchmarking, and failure analysis
- A generalist who enjoys getting your hands dirty across the whole stack ML stack
- Passionate about seeing robots make an impact in the real world
Nice to Have
~1 min read- Experience applying ML to robotics, with hands-on robot experience
- MS/PhD in Computer Science, Machine Learning, Robotics, or a related field
Expected Compensation
$200,000 - $350,000/annual salary + equity + benefits
This compensation range may be inclusive of several career levels at Ultra and will be narrowed during the interview process based on the candidate’s experience and qualifications. Adjustments outside of this range may be considered for candidates whose qualifications significantly differ from those outlined in the job description.
Location & Eligibility
Where is the job
Brooklyn, United States
On-site at the office
Who can apply
US
Listing Details
- Posted
- July 28, 2026
- First seen
- September 26, 2026
- Last seen
- September 27, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 17%
- Scored at
- September 27, 2026
Signal breakdown
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External application
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