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, 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
Java, C++, Python, algorithms and data structures, numerical optimization, data mining, parallel and distributed computing, high-performance computing
Preferred skills
R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy, Hadoop
Technologies
Java, C++, Python, R, scikit-learn, Spark, MLLib, MxNet, Tensorflow, numpy, scipy, Hadoop
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 to production; Mentor junior scientists and engineers
Seniority
Senior, hands-on IC with mentorship