About the job
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.
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
Qualifications
Minimum
- PhD, or Master's degree and 6+ years of applied research experience
- Experience programming in Java, C++, Python or related language
- Experience with neural deep learning methods and machine learning
Preferred
- Experience prioritizing and delivering projects on time in a fast-moving environment
- Passion for responsibly building and operating complex AI/ML systems, with consideration for controllability, privacy, security, safety, veracity, robustness, fairness, explainability, transparency, and governance.
- 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.
- Publication record on issues in responsible AI or related to responsible AI