Amazon Postdoctoral Scientist, The Decision Science & Technology (DST)

Amazon; London; On-site; GBP 150,000 - 200,000

Job description

Amazon Postdoctoral Scientist, The Decision Science & Technology (DST)

The Amazon Postdoctoral Science Program offers recent PhD graduates an exciting opportunity to gain hands-on industry experience, apply their specialized knowledge, and collaborate with Amazon's leading scientists. This program is designed for researchers who have completed their PhD within the past two years and are eager to bridge academia and industry, driving innovation at scale. Postdoctoral scientists will contribute to high-impact research initiatives, advance cutting-edge scientific developments, and publish their work in top-tier scientific journals. Participants will benefit from mentorship, access to Amazon's world-class resources, and exposure to real-world challenges with immediate customer impact.

Focus Areas

We are seeking candidates with expertise in foundational and applied research, particularly in:

1. Large Language Models (LLMs): Experience developing, fine-tuning, and scaling LLMs for diverse applications.
2. Graph Databases: Strong understanding of graph theory, data modeling, and implementation of graph database technologies in complex systems.
3. Mathematical Optimization: Good understanding of mathematical optimization, including mixed-integer optimization, combinatorial optimization, and robust optimization.

Basic Qualifications

1. PhD in a relevant field (e.g., Computer Science, Operations Research, Mathematics, Statistics) received within 2 years of program start date.
2. Proven publication record in areas such as LLM, NLP, Generative AI, Graph Database, or other relevant domains.
3. Hands-on experience with technologies related to large language models, graph databases, and mathematical optimization.

Preferred Qualifications

1. Ability to independently deliver results in a fast-paced environment.
2. Publications at top-tier, peer-reviewed conferences and/or journals such as NurIPS, ICML, ICLR, CIKM, ICDE.
3. 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

1. CV, which lists all peer-reviewed publications and conferences.
2. Research statement that outlines your research achievements and future research interests.
3. A journal article or book chapter that demonstrates your domain expertise.

Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.

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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information.