Postdoctoral Scientist, Stores Foundational AI Full-time

Amazon is looking for talented Postdoctoral Scientists to join our Stores Foundational AI team for a one-year, full-time research position.

The Stores Foundational AI team builds foundation models for multiple Amazon entities, such as ASIN, customer, seller and brand. These foundation models are used in downstream applications by various partner teams in Stores. Our team also invest in building foundation model for image generation, optimized for product image generation. We leverage the latest development to create our solutions and innovate to push state of the art.

The Postdoc is expected to conduct research and build state-of-the-art algorithms in video understanding and representation learning in the era of LLMs. Specifically,

Designing efficient algorithms to learn accurate representations for videos.

Building extensive video understanding capabilities including various content classification tasks.

Designing algorithms that can generate high-quality videos from set of product images.

Improve the quality of our foundation models along the following dimensions: robustness, interpretability, fairness, sustainability, and privacy.

We are open to hiring candidates to work out of one of the following locations:

Palo Alto, CA, USA

BASIC QUALIFICATIONS

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

* Proven publication record in Machine Learning, Computer Vision, or other related technical fields

*Experience in data science and quantitative research

* Proficiency in technologies relevant to the subfield

PREFERRED 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

Research experience in Machine Learning, Deep Learning, and/or Large Language Models (LLMs)

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.