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Senior Applied Scientist, Fauna

Amazon

Senior Applied Scientist, Fauna

Amazon

New York, NY, USA

·

On-site

·

Full-time

·

1w ago

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

Basic Qualifications

  • PhD, or Master's 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

Preferred Qualifications

  • 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.

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

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关于Amazon

Amazon

Amazon

Public

Amazon.com, Inc. is an American multinational technology company engaged in e-commerce, cloud computing, online advertising, digital streaming, and artificial intelligence.

10,001+

员工数

Seattle

总部位置

$1.5T

企业估值

评价

2.9

10条评价

工作生活平衡

2.8

薪酬

3.7

企业文化

2.5

职业发展

2.3

管理层

2.1

35%

推荐给朋友

优点

Good pay and compensation

Strong benefits package

Flexible scheduling options

缺点

Poor management and leadership

Limited growth and promotion opportunities

High stress and demanding work environment

薪资范围

4个数据点

Junior/L3

L2

L3

L4

L5

L6

M3

M4

M5

M6

Mid/L4

Principal/L7

Senior/L5

Staff/L6

Director

Junior/L3 · Data Scientist L4

0份报告

$181,968

年薪总额

基本工资

-

股票

-

奖金

-

$154,672

$209,264

面试经验

10次面试

难度

3.7

/ 5

时长

21-35周

录用率

20%

体验

正面 10%

中性 10%

负面 80%

面试流程

1

Application Review

2

Recruiter Screen

3

Online Assessment

4

Technical Phone Screen

5

Onsite/Virtual Loop

6

Team Matching

7

Offer

常见问题

Coding/Algorithm

System Design

Behavioral/STAR

Leadership Principles

Technical Knowledge