Applied Scientist II, Amazon Shopping Personalization

Amazon • New York, NY

67d

About The Position

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 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.

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”.

Requirements

• 3+ years of building models for business application experience
• PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
• Experience programming in Java, C++, Python or related language
• Experience in building machine learning models for business application

Nice To Haves

• Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing
• Experience in professional software development

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.

Benefits

• 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
• parental leave

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: Ph.D. or professional degree