DeepReach is building the next-generation data infrastructure for robotics. We help bridge the gap between promising robot models and real-world deployment by building the systems, data pipelines, and learning loops needed to make robots improve in production.
We believe robotics progress will be driven not just by better models, but by better data engines: how data is collected, filtered, evaluated, and turned into measurable gains on real tasks. Our team works across robot deployment, teleoperation, data generation, model training, and evaluation, with a strong bias toward hands-on execution and fast iteration.
The Role
As a Robotics Research Intern, you will work on applied problems across VLA, robot learning, and computer vision for robotics. This is a generalist role for candidates who are excited about embodied AI and want to contribute to real systems rather than only benchmark results.
You may work on projects such as training or fine-tuning visuomotor models, improving perception pipelines, building data curation tools, reproducing recent research, or helping connect model improvements to real deployment tasks. We are looking for people who can read papers, implement ideas quickly, and iterate independently in a fast-moving startup environment.
What You’ll Do
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Support projects across VLA, robot learning, and computer vision
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Read papers, reproduce useful results, and adapt them to practical robotics workflows
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Help build or improve training, evaluation, and data processing pipelines
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Work on perception, dataset curation, model experimentation, or deployment-facing research tasks depending on your strengths
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Design and run experiments with clear metrics and communicate findings clearly
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Collaborate closely with the team to turn ambiguous technical problems into measurable progress
What We’re Looking For
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Bachelor’s, Master’s, or equivalent practical experience in Computer Science, Robotics, Electrical Engineering, or a related field
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Strong foundation in at least one of the following: