Applied AI Scientist, Labs
Build models that work where data is scarce, conditions are unforgiving, and being wrong is costly. You turn research into systems that hold up outside the lab.
What you will own
Develop and evaluate models for perception, prediction, and decision-making on problems with little or no precedent.
Work with limited, noisy, or synthetic data, using simulation, physics-informed methods, and careful validation.
Design uncertainty estimation and out-of-distribution detection so the system knows what it does not know.
Define evaluation protocols that reflect real operating conditions, and publish the results internally without spin.
Work with firmware and hardware engineers to run models efficiently at the edge.
Keep humans in the loop by design: build the interfaces and explanations that let operators supervise and override.
Visit our US and EU offices monthly to work in person with the team.