Research Scientist, Fauna

Amazon; Carlisle (Cumberland County); On-site; USD 157,000 - 213,000; Full time

Benefits offered by this job

Health insurance

RSUs

401(k) matching

Paid time off

Job summary

Amazon in the United States is seeking a Research Scientist to lead evaluation frameworks and data collection protocols for robotic capabilities. You will design how we measure, stress-test, and improve robot behavior across real-world tasks, contributing to datasets and policies that accelerate system performance.

The role is cross-disciplinary, spanning robotics, machine learning, and human-in-the-loop systems, with emphasis on turning ambitious capability goals into measurable evaluation

Qualifications

• PhD or Master's with 4+ years of quantitative field research experience
• Experience applying scientific principles to business problems and products
• Experience analyzing both experimental and observational data sets

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 for consistent evaluation of policies
• Create and refine data collection protocols generating high-quality, task-relevant datasets aligned with model development
• Build teleoperation workflows and operator interfaces to support scalable data collection
• Analyze evaluation results to identify performance gaps and opportunities for targeted data collection
• Collaborate with engineering teams to integrate evaluation tooling, logging systems, and data pipelines
• Stay current with advances in robotics, evaluation methodologies, and human-in-the-loop learning
• Lead technical projects from conception through production deployment
• Mentor junior scientists and engineers

Tools

R

MATLAB

Python

Job description

Job ID: 10499064 | Amazon.com Services LLC

We are seeking an Research 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

Basic Qualifications

• PhD, or Master's degree and 4+ years of quantitative field research experience
• Experience investigating the feasibility of applying scientific principles and concepts to business problems and products
• Experience analyzing both experimental and observational data sets

Preferred Qualifications

• Knowledge of R, MATLAB, Python or similar scripting language
• Experience with agile development
• Experience building web based dashboards using common frameworks

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 - 157,300.00 - 212,800.00 USD annually

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