Applied Scientist II - P13N, Shopping Intent

Amazon • Seattle, WA

13d

About The Position

Take Earth's most customer-centric company. Mix in hundreds of millions of
shoppers spending tens of billions of dollars annually, an exciting opportunity
to build next-generation shopping experiences, Amazon’s tremendous computational
resources, and our extensive e-Commerce experience. What do you get? The most
exciting position in the industry.

About our organization: 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", "Tap to explore", “Customers who bought this item also
bought”, and “Frequently bought together” among others. Amazon’s internal
surveys regularly recognize us as one of the best engineering organizations to
work for in the company, with visible high-impact work, low operational load,
respectful work-life balance, and continual opportunity to learn and grow.

You will play a critical role in ideation for the team. We are building the next
generation ML systems that powers the biggest shopping engine on earth, and we
hope you will join us!

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 any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing

Nice To Haves

• Experience using Unix/Linux
• Experience in professional software development

Responsibilities

• As an Applied Scientist on the team you will be working on cutting edge ways to help customers find the right products and content on their shopping journey.
• Our goal is to help customers achieve their objective seamlessly while shopping on Amazon.
• We are investing in multiple fronts including but not limited to GenerativeAI, LLMs, transformers, sequence models, reinforcement learning, MABs.
• This is an opportunity to come in on Day0 and influence the science roadmap of one of the most interesting problem spaces at Amazon - understanding the Amazon customer to build deeply personalized and adaptive shopping experiences.
• We will be working on applying cutting edge science and research into production to elevate the customer experience.
• You will be part of a multidisciplinary team, working on one of the largest scale machine learning systems in the company.
• You will hone your skills in areas such as deep learning and reinforcement learning while building scalable industrial systems.
• As a member of a highly leveraged team of talented engineers and ML scientists, you will have a unique opportunity to help build infrastructure that accesses petabytes of data to produce and deliver models that deliver state of the art customer experiences.

Benefits

• 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.

What This Job Offers

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