Responsible AI Scientist: Build Safe, Explainable AI

Amazon Inc.; Newark (NJ); Hybrid; USD 143,000 - 193,000; Full time

Benefits offered by this job

Health insurance

RSUs

401(k) matching

Job summary

Amazon.com Services LLC’s central Responsible AI team invites applications for a scientist to advance responsible AI across traditional, generative, and agentic AI use cases. You will help define strategies, priorities, and metrics for RAI while tackling open scientific challenges in a collaborative setting.

You will also contribute to team growth, liaise with internal and external stakeholders including the academic community, and champion governance, privacy, security, and fairness in deployed

Qualifications

• PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience.
• Experience programming in Java, C++, Python or related language.
• Experience with machine learning technologies, RL, DL, CV or NLP.

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

Skills

Java

C++

Python

Machine Learning

Reinforcement Learning

Deep Learning

Computer Vision

NLP

Education

PhD or Master's degree

Job description

Amazon.com Services LLC’s central Responsible AI team invites applications for a scientist to advance responsible AI across traditional, generative, and agentic AI use cases. You will help define strategies, priorities, and metrics for RAI while tackling open scientific challenges in a collaborative setting.

You will also contribute to team growth, liaise with internal and external stakeholders including the academic community, and champion governance, privacy, security, and fairness in deployed