Research Engineer, Robot Learning

Relari
San Francisco
Workplace: OnsiteFull timeUSD 125,000 - 175,000 annuallyFunction: Education & TrainingExperience: 3+ yearsSkills: ["Debugging","Experiment design","Problem-solving","Research depth","Ownership"]

Build and improve robotics foundation models across the full learning-to-deployment loop—pre-training, post-training, and evaluation. Develop vision-language-action, video, and world models for dexterous manipulation, and transfer human skills across robot embodiments. Run reproducible training and simulation pipelines, deploy policies to physical robots, and debug failures across data, perception, learning, control, and hardware. Enhance experiment tooling from data pipelines to robot runtime software.

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Relari
Relari
2 days ago

Research Engineer, Robot Learning

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Last checked: 8 hours agoStatus: Live

Job Summary

Build and improve robotics foundation models across the full learning-to-deployment loop—pre-training, post-training, and evaluation. Develop vision-language-action, video, and world models for dexterous manipulation, and transfer human skills across robot embodiments. Run reproducible training and simulation pipelines, deploy policies to physical robots, and debug failures across data, perception, learning, control, and hardware. Enhance experiment tooling from data pipelines to robot runtime software.
Location: San Francisco
Workplace: Onsite
Employment Type: Full time
Job Function: Education & Training
Seniority: Mid level

Key Responsibilities

  • •Own pre-train, post-train, and evaluation pipelines of robotics foundation models from multimodal human and robot datasets.
  • •Develop and adapt VLA, video, and world models for dexterous manipulation.
  • •Investigate representations and training methods for transferring human skills across robot embodiments.
  • •Build reproducible large-scale training, simulation, and real-world evaluation loops to measure research progress.
  • •Deploy policies on physical robots and diagnose failures across data, perception, learning, control, and hardware.

Pay and Benefits

Salary: USD 125,000 - 175,000 annually
Equity and Bonus:Equity

Key Requirements

  • •Strong foundations in machine learning, robot learning, computer vision, or a closely related field.
  • •Experience building and evaluating learning systems in Python using PyTorch, JAX, or similar tools.
  • •Turn open-ended technical questions into working experiments with clear conclusions.
  • •Comfort debugging real data and physical systems rather than only clean benchmarks.
  • •Experience with VLA, video models, world models, imitation learning, reinforcement learning, or large-scale model training is useful.
Experience:3+ yearsRoboticsMachine learningComputer visionRobot learningReinforcement learning
Skills:DebuggingExperiment designProblem-solvingResearch depthOwnership
Tech Stack:PythonPyTorchJAX

Eligibility

Work Authorization:Sponsorship available.

Company Brief

Relari
Relari (Nuvi) provides a developer-focused observability platform that uses telemetry and AI to detect, explain, and prioritize incidents for cloud-native applications, accelerating root cause analysis and enabling automated incident response for engineering teams.
Industry: Developer Tools
Company Size: Small (11 to 50 employees)
Growth: Early Stage Startup
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