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About the role
We're hiring a researcher to join Trace and work on the core problems in robot learning: what data quality means in the paradigm of robot learning. You’ll work on how to structure real-world data for training, how to train and evaluate models on it, and how to close the loop between what we capture and what makes physical AI systems better.
What they're looking for
- Currently completing, or recently completed, a Master's or PhD program with a research focus on robot learning, robotics, or training foundation/AI models
- Exceptional undergraduates from top-tier robotics programs will also be considered
- No industry experience required. You can join us straight out of your program
- Motivated by seeing research translate into working systems
- Optimistic and serious about where robotics and AI are headed
- Comfortable being early in your career but still forming strong, defensible technical opinions
More about this role
Trace is building the data infrastructure that lets robots learn from the real world
AI is moving into the physical world. It has the potential to transform how work gets done in the real world, from robotics to embodied systems that can see, move, and interact with their environment. But today, progress is constrained by a fundamental limitation: there is no scalable way to collect high-quality, real-world training data. Frontier robotics models are trained on orders of magnitude less data than language models because there is no equivalent of an "internet of robotics data."
Trace exists to change that.
We build the infrastructure that makes it possible to capture and transform real-world data like humans performing physical work, and turn it into training data for robots and other intelligent systems that operate outside the browser and in the physical world.
If we succeed, we will meaningfully accelerate the development of physical AI and expand what these systems can safely and reliably do in the world. If you want to be an early hire at a company helping define how robots learn to work, keep reading.
A world-changing problem : Physical AI will reshape entire industries, but...
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