Senior Responsible AI Scientist: Drive Trust & Innovation

Amazon Inc.

Seattle (WA)

On-site

USD 167,100 - 226,100

Full time

14 days+

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Benefits offered by this job

Health insurance
401(k) matching
Paid time off
RSUs

Job summary

Amazon Development Center U.S., Inc. seeks a Senior Responsible AI researcher to advance robust, responsible AI (RAI) strategies across products and platforms.

You will tackle controllability, privacy, security, safety, fairness, explainability, and governance while shaping research agendas and metrics. You will collaborate with internal teams and external researchers, publish findings, mentor junior staff, and help scale RAI programs across the organization in a fast-paced, high-impact

Qualifications

  • PhD or Master’s with 6+ years of applied research in AI/ML
  • Experience programming in Java, C++, Python
  • Experience with neural deep learning methods and ML.

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
  • Liaise with internal and external stakeholders, including the academic community, on issues related to RAI

Skills

Java
C++
Python
Deep learning

Education

PhD or Master’s with 6+ years of applied research

Job description

Amazon Development Center U.S., Inc. seeks a Senior Responsible AI researcher to advance robust, responsible AI (RAI) strategies across products and platforms.

You will tackle controllability, privacy, security, safety, fairness, explainability, and governance while shaping research agendas and metrics. You will collaborate with internal teams and external researchers, publish findings, mentor junior staff, and help scale RAI programs across the organization in a fast-paced, high-impact

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