Applied Scientist, Fauna
Core
Design evaluation frameworks, data collection protocols, and teleoperation workflows to measure, stress-test, and improve robotic capabilities across real-world tasks.
Role type
Senior Applied Scientist (Robotics Evaluation & Data)
Builds
Evaluation policies, benchmarking methodologies, and high-quality datasets for robot learning systems
Domain
Robotics, Machine Learning, Human-in-the-loop systems
Deliverable
production ML models
Required skills
Algorithms and data structures, Numerical optimization, Parallel and distributed computing, High-performance computing, Data mining, Java, C++, Python
Preferred skills
Unix/Linux, Professional software development
Technologies
Java, C++, Python, Unix/Linux
Responsibilities
Design and implement evaluation frameworks for robot capabilities, Develop task definitions and benchmarking methodologies, Create and refine data collection protocols, Build and iterate on teleoperation workflows, Analyze evaluation results to identify performance gaps, Collaborate with engineering teams to integrate evaluation tooling, Lead technical projects from conception through production deployment, Mentor junior scientists and engineers