AmazonPosted 1w ago

Senior Applied Scientist, Fauna

Senior Applied Scientist, Fauna at Amazon scores 90 out of 100 on AI centrality, which makes it AI Level 4 of 4 (Builds AI) on this board. The level measures how much of the work is AI, not seniority.

US, NY, New Yorkseniorfull-time$184k-$249k

AI in this role

Lead the development of evaluation frameworks, data collection protocols, and benchmarks for robotic capabilities and machine learning policies.

roboticsmachine-learningevaluation-frameworksdata-collectionteleoperation

We are seeking an Applied Scientist to lead the development of evaluation frameworks and data collection protocols for robotic capabilities. In 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

About the team
Fauna Robotics, an Amazon company, is building capable, safe, and genuinely delightful robots for everyday life. Our goal is simple: make robots people actually want to live and interact with in everyday human spaces.
We believe that future won’t arrive until building for robotics becomes far more accessible. Today, too much effort is spent reinventing the fundamentals. We’re changing that by developing tightly integrated hardware and software systems that make it faster, safer, and more intuitive to create real-world robotic products.
Our work spans the full stack: mechanical design, control systems, dynamic modeling, and intelligent software. The focus is not just functionality, but experience. We’re building robots that feel responsive, expressive, and genuinely useful.
At Fauna, you’ll work at the frontier of this space, helping define how robots move, manipulate, and interact with people in natural environments. It’s an opportunity to solve hard problems across hardware and software with a team focused on making robotics accessible and joyful to build.
If you care about making robotics real for everyone and building systems that are as delightful as they are capable, we’re interested in hearing from you.

Basic qualifications

- PhD, or Master's degree and 6+ years of applied research experience
- 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

Preferred qualifications

- 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.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

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 https://amazon.jobs/en/benefits.

USA, NY, New York - 183,800.00 - 248,700.00 USD annually

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

RoboticsMachine LearningEvaluation FrameworksData CollectionTeleoperation

Questions you could be asked

Tell me about a project where robotics was part of your work. What did you do?
Tell me about a project where machine learning was part of your work. What did you do?
Tell me about a project where evaluation frameworks was part of your work. What did you do?
Tell me about a project where data collection was part of your work. What did you do?
Tell me about a project where teleoperation was part of your work. What did you do?

Adapt your resume

List these exact terms on your resume: Robotics, Machine Learning, Evaluation Frameworks, Data Collection, and Teleoperation. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
Lead with what you built, trained or shipped — this role is judged on the AI system itself, not the tools around it.

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