Senior Applied Scientist, Fauna
Core
Design evaluation frameworks, data collection protocols, and teleoperation workflows to measure, stress-test, and improve robot behavior across real-world tasks.
Role type
Senior Applied Scientist (Robotics Evaluation & Data Infrastructure)
Builds
Evaluation policies, benchmarking methodologies, high-quality datasets, and operator interfaces for robotic systems
Domain
Robotics, Machine Learning, Human-in-the-loop systems
Deliverable
production ML models | product features
Required skills
Deep learning, robotics systems/control, embodied AI, experimental design, evaluation methodology design, teleoperation systems, simulation environments, data pipeline development
Preferred skills
Leading research initiatives, foundation models, top-tier conference publications
Technologies
Simulation environments, teleoperation systems, data pipelines
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 tooling and data pipelines; Lead technical projects from conception to production; Mentor junior scientists and engineers