This is a unique opportunity for a postdoc to work on research projects that investigate state of the art NLP IR and LLM approaches for understanding retail products and their pricing. This will include working with billionscale datasets and investigating how the world knowledge captured by LLMs reflects real world prices and investigating more advanced prompting and reasoning techniques to construct large knowledge graphs that are specialized for various pricing use cases such as probabilistic price estimation as well as error detection and correction.
Key job responsibilities
In this role you will:
Work closely with a senior science advisor collaborate with other scientists and engineers and be part of Amazons vibrant and diverse global science community.
Publish your innovation in toptier academic venues and hone your presentation skills.
Be inspired by challenges and opportunities to invent cuttingedge techniques in your area(s) of expertise.
About the team
The retail pricing science team is a centralized diverse team of STEM scientists that develop statistical ML RL optimization and economic models that drive pricing for products sold by Amazon worldwide as well as monitoring of prices and experimentations in pricing. The team has a dual focus on competitiveness and long term financial optimality.
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
Postdocs demonstrate the following preferred job qualifications:
Ability to independently deliver results in a fastpaced environment
Publications at toptier peerreviewed 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 peerreviewed 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 an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit
for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.