Applied Scientist II, Amazon Search

Amazon • Seattle, WA

3d • $142,800 - $193,200 • Onsite

About The Position

We are seeking a talented applied researcher to join the Whole Page Planning and Optimization (WPPO) Science team in Search. The Search WPPO Science team is responsible for developing large-scale machine learning systems—spanning ranking, reinforcement learning, and large language models (LLMs)—that power the next generation Amazon shopping experience and deliver it to millions of customers. We believe that shopping on Amazon should be simple, delightful, and full of WOW moments for EVERYONE, whether you are technically savvy or new to online shopping.

Requirements

• 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
• 1+ years of building machine learning models or developing algorithms for business application experience
• 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

• 1+ years of building production software experience
• Ph.D. in computer science, mathematics, statistics, machine learning or equivalent quantitative field
• Experience in written and verbal communication with the ability to present complex technical information in a clear and concise manner to executives and non-technical leaders
• At least 2 years of experience with predictive modeling and analysis, applying various machine learning techniques including supervised/unsupervised learning, deep learning, and reinforcement learning
• Strong publication record at top ML conferences and journals

Responsibilities

• Work closely with a team of applied scientists and engineers to build systems that shape the future of Amazon's shopping experience by generating relevant content with LLMs and assembling a whole page experience that is coherent, dynamic, and interesting.
• Improve our ranking and optimization algorithms.
• Participate in driving features from idea to deployment, and your work will directly impact millions of customers.

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
• sign-on payments
• restricted stock units (RSUs)

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level