Hiring: Applied Scientist, Fauna Company: Amazon Science Location: New York, United States Job Posted Time: 2026-09-16 23:22:44 Target Skills & Keywords : C++, Data Pipeline, Java, Linux, Machine Learning, Python About the job Experience: •3+ years of building models for business application experience •4+ years of CS, CE, ML or related field experience Required Skills: •The ideal candidate is highly experimental, systems-oriented, and comfortable working across software, robotics, and data pipelines, with a strong focus on turning ambiguous capability goals into measurable and actionable evaluation systems. •Design and implement evaluation frameworks to measure robot capabilities across structured tasks, edge cases, and real-world scenarios •Develop task definitions, success criteria, and benchmarking methodologies that enable consistent and reproducible evaluation of policies •Create and refine data collection protocols that generate high-quality, task-relevant datasets aligned with model development needs •Build and iterate on teleoperation workflows and operator interfaces to support efficient, reliable, and scalable data collection •Analyze evaluation results and collected data to identify performance gaps, failure modes, and opportunities for targeted data collection •Partner cross-functionally with engineering teams to integrate evaluation tooling, logging systems, and data pipelines into the broader robotics stack •Stay current with advances in robotics, evaluation methodologies, and human-in-the-loop learning to continuously improve internal approaches Qualifications: •PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!