The Role
Conduct research and engineering to improve robot foundation models' speed, robustness, and real-world task performance. Post-train and fine-tune large models (IL, RL), evaluate and benchmark results, integrate models into the production robotics stack, and collaborate with deployment teams to scale across customer sites.
Summary Generated by Built In
About Ultra
What You’ll Do
Who You Are
Bonus Points
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 roleWe 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.
- 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
- 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.
Skills Required
- Experience fine-tuning large models for downstream tasks (imitation learning, reinforcement learning, etc.)
- Ability to own end-to-end research efforts and operate with high agency
- Strong focus on evaluation, benchmarking, and failure analysis
- Generalist familiarity across the ML stack and willingness to work hands-on across the stack
- Passion for deploying ML/robotics solutions in real-world settings
- Experience applying ML to robotics, with hands-on robot experience
- MS or PhD in Computer Science, Machine Learning, Robotics, or related field
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The Company
What We Do
Ultra builds intelligent warehouse robots that are being deployed in warehouses today. Our purpose-built robots are practically designed for end-to-end task automation, starting with ecommerce order packaging.
