Robotics Science Operations Engineer

Generalist; San Francisco (CA); On-site; USD 120,000 - 180,000; Full time

Job summary

Generalist is seeking a deeply cross-functional ops role at the center of our model research and robotics stack. You will join the Robot Science Operations staff to turn robots, data, and evaluations into a fast feedback loop for model science.

You will run experiments on robot platforms, design tasks, coordinate data collection, and ensure deployments are reliable. You will collaborate with ML researchers to interpret results, build benchmarks, and write documentation to scale workflows across

Qualifications

• Hands-on experience with robot data collection, evaluation, or deployment.
• Conceptual understanding of the full modern ML training, fine-tuning, and inference life cycles.
• Ability to write clear, structured documentation.

Responsibilities

• Executing experiments on robot platforms.
• Collaborating with research teams to interpret findings.
• Designing new robotic tasks and benchmarks for evaluation.
• Procuring materials and building lightweight physical benchmarks.
• Ensuring robots are configured, calibrated, and ready for rollouts and evaluations.
• Running structured evaluations and measuring real-world success rates.
• Analyzing results and closing feedback loops with ML researchers.
• Beta testing internal and third-party tools for teaching robots new skills.
• Writing playbooks so workflows are reproducible.
• Identifying bottlenecks and improving system throughput end-to-end.

Skills

Hands-on robot data collection

Robot evaluation

Deployment experience

ML training life cycle

Documentation writing

Tools

Python

Linux

Robot platforms

Job description

Generalist is seeking a deeply cross-functional ops role at the center of our model research and robotics stack. You will join the Robot Science Operations staff to turn robots, data, and evaluations into a fast feedback loop for model science.

You will run experiments on robot platforms, design tasks, coordinate data collection, and ensure deployments are reliable. You will collaborate with ML researchers to interpret results, build benchmarks, and write documentation to scale workflows across