Senior Applied Scientist, Fauna

We are seeking an Applied Scientist to lead the development of evaluation frameworks and data collection protocols for robotic this role you will focus on designing how we measure stress-test and improve robot behavior across a wide range of real-world tasks. Your work will play a critical role in shaping how policies are validated and how high-quality datasets are generated to accelerate system performance.
You will operate at the intersection of robotics machine learning and human-in-the-loop systems building the infrastructure and methodologies that connect teleoperation evaluation and learning. This includes developing evaluation policies defining task structures and contributing to operator-facing interfaces that enable scalable and reliable data collection.
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.

Key job 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

- PhD or Masters degree and 6 years of applied research experience
- 3 years of industry or academic research experience
- Experience with any programming language such as Python Java C
- 5 years of building machine learning models or developing algorithms for business application experience
- Experience leading technical initiatives and key deliverables
- - Experience in patents or publication at top-tier conferences
- - Demonstrated expertise in deep learning and model development
- - Strong experience with robotics systems control or embodied AI
- - Experience designing evaluation methodologies benchmarks or experimental frameworks for large-scale ML models or robotic systems
- - Familiarity with teleoperation systems simulation environments or human-in-the-loop data collection

- Experience managing and deploying ML products
- - Experience in patents or publications at top-tier peer-reviewed conferences or journals
- - Experience leading research initiatives in robotics or foundation models

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.

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The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience qualifications and location. Amazon also offers comprehensive benefits including health insurance (medical dental vision prescription Basic Life & AD&D insurance and option for Supplemental life plans EAP Mental Health Support Medical Advice Line Flexible Spending Accounts Adoption and Surrogacy Reimbursement coverage) 401(k) matching paid time off and parental leave. Learn more about our benefits at NY New York - 183800.00 - 248700.00 USD annually