About Ultra
Ultra builds industrial AI robots that are working in the real world today. Our robots automate mission-critical warehouse labor end-to-end, starting with e-commerce order packaging. We deploy fast, learn from real production data, and iterate aggressively. We already have a quickly growing number of revenue-generating robots operating in U.S. warehouses, and are now scaling towards thousands of deployments over the next few years. Our mission is simple: build the world's most useful and deployable robot.
WARNING:
Robotics is not for the faint of heart. There are no silver bullets here. It is tiresome, unglamorous, and at times brutal work. The only way out is through, and the only way through is treacherous and unknown.
Success will require teamwork
- so we are building a world-class team to tackle some of the most exciting problems out there. We hope you join us.
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. 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.
What You’ll Do
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
Who You Are
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
Bonus Points
Experience applying ML to robotics, with hands-on robot experience
MS/PhD in Computer Science, Machine Learning, Robotics, or a related field
Equal Employment Opportunity Statement
We are an Equal Opportunity Employer. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We are committed to creating a diverse and inclusive environment and encourage applicants from all backgrounds to apply.