MNC InsiderMNC Insider
Amazon logo

Applied Scientist, Responsible AI

Amazon

Applied Scientist, Responsible AI

full-timePosted: Aug 26, 2026Updated: Aug 27, 2026Seattle, Washington, United States

Job Description

We are Amazon's central Responsible AI team. Our mission is to advance the science and practice of Responsible AI (RAI) to enable Amazon's tens of thousands of builders to build and deploy AI solutions to the high standards that our customers and society expect. As a scientist on this team, you will: - understand in depth the technical and scientific issues related to RAI, including controllability, security, privacy, safety, veracity, robustness, fairness, explainability, transparency, and governance - help define the strategies, priorities and metrics for RAI - solve open problems in RAI to unblock traditional, generative and/or agentic AI use cases and solutions, publishing as appropriate - help develop our team - liase with internal and external stakeholders, including the academic community, on issues related to RAI About the team Diverse Experiences Amazon Security values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why Amazon Security? At Amazon, security is central to maintaining customer trust and delivering delightful customer experiences. Our organization is responsible for creating and maintaining a high bar for security across all of Amazon’s products and services. We offer talented security professionals the chance to accelerate their careers with opportunities to build experience in a wide variety of areas including cloud, devices, retail, entertainment, healthcare, operations, and physical stores. Inclusive Team Culture In Amazon Security, it’s in our nature to learn and be curious. Ongoing DEI events and learning experiences inspire us to continue learning and to embrace our uniqueness. Addressing the toughest security challenges requires that we seek out and celebrate a diversity of ideas, perspectives, and voices. Training & Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, training, and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve.

Locations

  • Seattle, Washington, United States
  • New York, New York, United States

Salary

172,400 - 223,400 USD / yearly

Skills Required

  • one of the following areas: machine learning technologiesintermediate

Required Qualifications

  • PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience (experience, 4 years)
  • Experience programming in Java, C++, Python or related language (experience)
  • Experience with one of the following areas: machine learning technologies, Reinforcement Learning, Deep Learning, Computer Vision, Natural Language Processing (NLP) or related applications (experience)

Preferred Qualifications

  • Experience prioritizing and delivering projects on time in a fast-moving environment (experience)
  • Passion for responsibly building and operating complex AI/ML systems, with consideration for controllability, privacy, security, safety, veracity, robustness, fairness, explainability, transparency, and governance. (experience)
  • Excellent verbal and written communication skills, with demonstrated ability to synthesize large amounts of complex data and communicate complex concepts effectively to internal and external stakeholders. (experience)
  • Publication record on issues in responsible AI or related to responsible AI (experience)

Responsibilities

  • understand in depth the technical and scientific issues related to RAI, including controllability, security, privacy, safety, veracity, robustness, fairness, explainability, transparency, and governance
  • help define the strategies, priorities and metrics for RAI
  • solve open problems in RAI to unblock traditional, generative and/or agentic AI use cases and solutions, publishing as appropriate
  • help develop our team
  • liase with internal and external stakeholders, including the academic community, on issues related to RAI

Target Your Resume for "Applied Scientist, Responsible AI" , Amazon

Get personalized recommendations to optimize your resume specifically for Applied Scientist, Responsible AI. Takes only 15 seconds!

AI-powered keyword optimization
Skills matching & gap analysis
Experience alignment suggestions

Check Your ATS Score for "Applied Scientist, Responsible AI" , Amazon

Find out how well your resume matches this job's requirements. Get comprehensive analysis including ATS compatibility, keyword matching, skill gaps, and personalized recommendations.

ATS compatibility check
Keyword optimization analysis
Skill matching & gap identification
Format & readability score

Tags & Categories

Applied ScienceApplied Science

Answer 10 quick questions to check your fit for Applied Scientist, Responsible AI @ Amazon.

Quiz Challenge
10 Questions
~2 Minutes
Instant Score

Related Books and Jobs

No related jobs found at the moment.