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Postdoctoral Scientist - Operations, Information, and Technology Research

Job ID: 2008289 | Services LLC


Job summary
Amazon is looking for talented Postdoctoral Scientists to join Amazon for a one-year, full-time research position. Postdoctoral Scientists focused on Operations Research will innovate in key areas of optimization at scale, dive deep into ambiguous problem areas, and influence the build of scalable tools and technology. As Amazon is highly focused on scaling and optimizing in-station operations both in terms of cost and quality, we need to solve problems that demand expertise in conventional machine learning. We are driven to build algorithms for incorporation into our systems that can help us execute faster and with more accuracy. Our key need for research is to solve problems in the most optimized manner. We are seeking talented scientists to innovate in these and other exciting new areas of research.

Please note: This posting is one of several Amazon Postdoctoral Scientist postings. Please only apply to a maximum of 2 Amazon Postdoctoral Scientist postings that are relevant to your technical field and subject matter expertise.

Key job responsibilities
* Engage key business stakeholders and scientists to surface opportunities for improvement and identify business requirements. Work closely with peripheral teams to develop solutions to ambiguous business problems and integrate novel methodology into our team and business.
* Work closely with a senior science advisor, collaborate with other scientists and engineers, and be part of Amazon’s vibrant and diverse global science community.
* Publish your innovation in top-tier academic venues and hone your presentation skills.
* Be inspired by challenges and opportunities to invent cutting-edge techniques in your area(s) of expertise.


* PhD in a relevant field, received within 2 years of starting the program
* Proven publication record in Operations, Information, and Technology, Machine Learning, Computer Science, or other related technical fields
* Experience in data science and quantitative research
* Proficiency in technologies relevant to the subfield


* 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/conferences and previous awards/grants received,
* Research statement that outlines your research achievements and future research interests, and
* A journal article or book chapter that demonstrates your domain expertise.

This role will be supporting a global business unit and could support from a few different locations.
This role could potentially be located in the below areas:
* San Francisco, CA
* Los Angeles, CA
* Boston, MA
* Seattle, WA
* London, England
* Berlin, Germany
* Munich, Germany
* Haifa, Israel
* Tel Aviv, Israel

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 ( know more about how we collect, use and transfer the personal data of our candidates.

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Pursuant to the Los Angeles Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction record.

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