Senior Applied Scientist, Amazon Shopping Personalization

Amazon; New York (NY); On-site; USD 180,000 - 230,000; Full time

Job summary

Amazon is seeking a Research Scientist in New York to advance machine learning and recommendation systems. You will work with large datasets and substantial compute resources on live shopping experiences, pursuing novel ideas with potential impact on millions of customers.

You will develop AI solutions for recommendations using deep learning, LLMs, RL, and distillation, collaborate with engineers and PMs, and publish your work in top venues.

Responsibilities

• Using Amazon’s 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.

Job description

Description

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.

Key job responsibilities

• Using Amazon’s 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 Amazon’s Personalization organization, a high-performing group that leverages Amazon’s 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".