Senior 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 Infrastructure)
Builds
Evaluation policies, task structures, benchmarking methodologies, and operator interfaces for scalable data collection
Domain
Robotics, Machine Learning, Human-in-the-loop systems
Deliverable
production ML models
Required skills
Deep learning, robotics systems/control/embodied AI, evaluation methodology design, experimental design, Python/Java/C++, technical leadership, patent/publication experience
Preferred skills
ML product management, foundation models research
Technologies
Python, Java, C++, simulation environments, teleoperation systems
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 pipelines; Lead technical projects from conception to production; Mentor junior scientists and engineers
Seniority
Senior, hands-on IC with mentorship (via careerplan.io/jobs/10390491-senior-applied-scientist-fauna-at-amazon)