Robotics ML Research Scientist - Real-World Deployment

Roboticsconnected; New York (NY); On-site; USD 150,000 - 210,000; Full time

Job summary

Ultra is seeking high-impact researchers and engineers to bridge the gap between robot foundation models and production deployment. You will post-train robot foundation models and push performance through real customer deployments, focusing on speed, reliability, and real-world impact.

The role requires owning research efforts end-to-end, strong emphasis on evaluation, and hands-on work across the ML stack in robotics.

Qualifications

• Experience fine-tuning large models for downstream tasks (IL, RL, etc.).
• Own significant research efforts end to end with high agency.
• Focused on evaluation, benchmarking and failure analysis.
• Broad hands-on work across the ML stack in robotics.

Responsibilities

• Improve robots’ ability to quickly learn new tasks and to execute those tasks quickly and reliably.
• Lead research efforts around improving model robustness and performance for real world tasks.
• Integrate trained models with production robotics stack and scale models across customer sites.

Skills

Fine-tuning large models

End-to-end ownership

Evaluation & benchmarking

ML stack generalist

Impactful robotics

Education

MS/PhD in CS/ML/Robotics

Job description

Ultra is seeking high-impact researchers and engineers to bridge the gap between robot foundation models and production deployment. You will post-train robot foundation models and push performance through real customer deployments, focusing on speed, reliability, and real-world impact.

The role requires owning research efforts end-to-end, strong emphasis on evaluation, and hands-on work across the ML stack in robotics.