Senior Applied Scientist, Amazon Shopping Personalization

Are you a scientist interested in pushing the state of the art in machine learning and recommendation systems Are you interested in working on novel ideas that can positively impact millions of customers Do you wish you had access to large datasets and tremendous computational resources Answer yes to any of these questions and you will be a great fit for our team at Amazon.

As an Senior Applied Scientist in our team you will be responsible for the research design and development of new AI technologies for Personalization. You will adopt or invent new machine learning and analytical techniques in the realm of recommendations and large language models. You will collaborate with scientists engineers and product partners locally and abroad. Your work will include inventing experimenting with and launching new features products and systems.

Key job responsibilities
- Using Amazons large-scale computing resources you will ask research questions about customer behavior build state-of-the-art models to optimize the shopping experience and run these models directly on the retail website.
- Develop AI solutions for Recommendation systems using Deep learning LLMs Reinforcement Learning distillation and Optimization methods;
- Work closely with engineers and product managers to design implement and launch AI solutions end-to-end;
- Design and conduct offline and online (A/B) experiments to evaluate proposed solutions based on in-depth data analyses;
- Effectively communicate technical and non-technical ideas with teammates and stakeholders;
- Stay up-to-date with advancements and the latest modeling techniques in the field;
- Publish your research findings in top conferences and journals.

About the team
Our team is part of Amazons Personalization organization a high-performing group that leverages Amazons expertise in machine learning big data distributed systems and user experience design to deliver the best shopping experiences for our customers. We run global experiments and our work has revolutionized e-commerce with features such as Keep shopping for ... Customers who bought this item also bought and Frequently bought together.


- 3 years of building machine learning models for business application experience
- PhD or Masters degree and 6 years of applied research experience
- Experience programming in Java C Python or related language
- Experience with neural deep learning methods and machine learning

- Experience with modeling tools such as R scikit-learn Spark MLLib MxNet Tensorflow numpy scipy etc.
- Experience with large scale distributed systems such as Hadoop Spark etc.

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.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience qualifications and location. Amazon also offers comprehensive benefits including health insurance (medical dental vision prescription Basic Life & AD&D insurance and option for Supplemental life plans EAP Mental Health Support Medical Advice Line Flexible Spending Accounts Adoption and Surrogacy Reimbursement coverage) 401(k) matching paid time off and parental leave. Learn more about our benefits at NY New York - 183800.00 - 248700.00 USD annually