Research Engineer, Robot Learning
San Francisco, CA$125k - $175kFull-timePosted 1mo ago
About the role
Role focused on end-to-end learning-to-deployment for robotics, including building representations from human data, training models, evaluating in simulation and on real robots, and guiding research from ideas to robot performance across vision-language-action, video, world models, and biomechanical signal-based policies.
Responsibilities
- Own pre-train, post-train, and evaluation pipelines of robotics foundation models from diverse multimodal human and robot datasets.
- Develop and adapt vision-language-action models, video models, 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 that make research progress measurable.
- Deploy policies on physical robots and diagnose failures across data, perception, learning, control, and hardware.
- Improve practical experiment tooling, including data pipelines, teleoperation, retargeting, visualization, and robot runtime software.
- Read relevant research, reproduce promising ideas, and design focused experiments around the results.
Qualifications
- 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.
- Evidence that you can turn an open-ended technical question into a working experiment and a clear conclusion.
- Comfort debugging real data and physical systems rather than working only with clean benchmarks.
- Experience with VLA models, video models, world models, imitation learning, reinforcement learning, or large-scale model training is useful; depth across every area is not required.
Skills
Required:Machine Learning / Robot LearningPython
Nice to have:Vision-Language-Action ModelsRobotics & Real-world Systems
Last updated Oct 14, 2026. Interested? Apply on the company site.
About Relari
AI Agent Builder for Software 3.0
Relari is building the infrastructure for trustworthy AI agents in the Software 3.0 era. We’re the company behind Nuvi.dev — a natural language agent builder that turns plain-English specifications into intelligent, verifiable agents — as well as the open-source frameworks Agent Contract and continuous-eval, which ensure AI systems behave as intended.
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