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Senior Applied Scientist, Fauna

Amazon· Amazon Robotics / Research Science
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Hybrid (New York)$183.8k - $248.7kFull-timePosted yesterday

About the role

Applied Scientist to lead evaluation frameworks and data collection protocols for robotic capabilities, focusing on measurement, stress-testing, and improvement of robot behavior across real-world tasks within a human-in-the-loop context.

Responsibilities

  • 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
  • Collaborate 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
  • Lead technical projects from conception through production deployment
  • Mentor junior scientists and engineers

Qualifications

  • PhD, or Master's degree and 6+ years of applied research experience
  • Experience programming in Java, C++, Python or related language
  • Experience in patents or publications at top-tier peer-reviewed conferences or journals
  • Experience in algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing

Skills

Required:Evaluation framework designTask definition and benchmarkingData collection protocolsTeleoperation workflowsEvaluation data analysisRobotics software integration
Nice to have:Leadership / mentoring

Benefits

  • Health insurance (medical, dental, vision, prescription) and life insurance options
  • 401(k) matching
  • Paid time off and parental leave
  • RSUs and sign-on payments
  • Comprehensive benefits package including mental health support and flexible spending accounts
  • Adoption and surrogacy reimbursement coverage
Last updated Oct 25, 2026. Interested? Apply on the company site.

About Amazon

Amazon.com, Inc. or its affiliates

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