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Description

The Postdoc for this role will research safety and efficiency aspects of generative AI for industries. From the safety perspective, the postdoc will research and present (internally and externally) a novel contribution to hallucination reduction, model/data/prompt safety or privacy-preserving training or fine-tuning methods with direct applications in one of our core industry segments. From the efficiency perspective, the postdoc will research and present a novel contribution to training, fine-tuning or operationalization methods that reduce cost, memory or carbon footprint of foundation models with a demonstration of its application in one of our core industry segments.

Key job responsibilities

This is a unique opportunity for a Postdoc to spearhead the effort to address safety and efficiency challenges behind adopting generative AI for Amazon's funded and ongoing industry product initiatives. This research will feed directly into Amazon's generative AI product strategies and features with industry customers and AIP segments.

About the team

The AWS Industry Products (AIP) team directly collaborates with strategic customers to build new, industry-specific products that directly impact and transform industries at AWS scale. We are a team of innovators that tackle difficult problems, and build products through fast iteration in a start-up like environment. AIP SCIFI team was formed to empower our customers to make better data-driven decisions by leveraging data science techniques such as ML and optimization.

Basic Qualifications

Basic qualifications include:

• PhD in a relevant field, received within 2 years of starting the program

• Proven publication record in Operation Research, Management Science, Statistics, Machine Learning, Computer Science, Econ, or other related technical fields

• Experience in data science and quantitative research

• Proficiency in technologies relevant to the subfield

Preferred Qualifications

Postdocs demonstrate the following preferred job qualifications:

• Ability to independently deliver results in a fast-paced environment

• Publications at top-tier, peer-reviewed conferences and/or journals

• Exceptional verbal and written communication skills

• Expert knowledge in modeling and performance, operationalization, and scalability of scientific techniques and establishing decision strategies

Required application materials:

• CV, which lists all peer-reviewed publications and conferences,

• Research statement that outlines your research achievements and future research interests, and

• A journal article or book chapter that demonstrates your domain expertise.

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.