Applied Scientist, Fauna
Core
Design evaluation frameworks and data collection protocols to measure, stress-test, and improve robotic capabilities across real-world tasks.
Role type
Applied Scientist (Robotics Evaluation & Data Infrastructure)
Builds
Evaluation policies, task structures, benchmarking methodologies, and teleoperation workflows for robotics systems
Domain
Robotics, Machine Learning, Human-in-the-loop systems
Deliverable
production ML models
Required skills
Algorithms and data structures, numerical optimization, data mining, parallel and distributed computing, high-performance computing, Java, C++, Python
Preferred skills
Unix/Linux, professional software development
Technologies
Java, C++, Python
Responsibilities
Design and implement evaluation frameworks for robot capabilities, develop task definitions and success criteria, create data collection protocols, build and iterate on teleoperation workflows, analyze evaluation results to identify performance gaps, collaborate on integrating evaluation tooling into the robotics stack, lead technical projects from conception to production, mentor junior scientists and engineers
Seniority
Senior, hands-on IC
