Applied Scientist II, Search Ranking

Amazon • Seattle, WA

53d

About The Position

The Amazon Search team creates customer-focused search solutions and
technologies. Whenever a customer visits an Amazon site worldwide and types in a
query or browses through product categories, Amazon Product Search services go
to work. We design, develop, and deploy high performance, fault-tolerant
distributed search systems used by millions of Amazon customers every day. Our
Search Relevance team works to maximize the quality and effectiveness of the
search experience for visitors to Amazon websites worldwide.

The Search Relevance team focuses on several technical areas for improving
search quality. In this role, you will invent universally applicable signals and
algorithms for training machine-learned ranking models. The relevance
improvements you make will help millions of customers discover the products they
want from a catalog containing millions of products. You will work on problems
such as predicting the popularity of new products, developing new ranking
features and algorithms that capture unique characteristics, and analyzing the
differences in behavior of different categories of customers. The work will span
the whole development pipeline, including data analysis, prototyping, A/B
testing, and creating production-level components.

Joining this team, you’ll experience the benefits of working in a dynamic,
entrepreneurial environment, while leveraging the resources of Amazon.com
[http://amazon.com/] (AMZN), one of the world’s leading Internet companies. We
provide a highly customer-centric, team-oriented environment in our offices
located in Palo Alto, California.

Please visit https://www.amazon.science [https://www.amazon.science] for more
information

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
• 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

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