Applied Scientist, Search Ranking

Socket.dev; Seattle (WA); On-site; USD 143,000 - 193,000; Full time

Job summary

Amazon in Seattle is seeking an Applied Scientist for the Search Ranking team to build models that scale to billions of queries and millions of customers worldwide. You will leverage big data to uncover ranking improvements and craft efficient early-stage models that drive faster customer experiences.

You will analyze A/B test results, collaborate with business and tech partners, and help shape the next generation of search infrastructure with scalable ML techniques.

Qualifications

• 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 algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing.

Responsibilities

• Build search ranking models that handle thousands of product types and billions of queries.
• Leverage large datasets to understand customer behavior and improve ranking.
• Develop efficient models and exploration techniques for early stage ranking.
• Analyze data from A/B tests and collaborate with partner teams on goals.
• Present initiatives to business and tech leaders at Amazon.

Skills

Java

C++

Python

Algorithms & data structures

Parsing

Numerical optimization

Data mining

Parallel computing

Distributed computing

High-performance computing

Education

Master's degree or PhD in CS/CE/ML or related field

Tools

Unix/Linux

Job description

Amazon's Search team creates ML algorithms that connect customers around the world with products that delight them. We harness machine learning at Amazon's scale to make the customer experience easier and smoother. Our impact is large. For example, if your innovations save even 1 minute per customer per year, then for every 100 million customers, you save approximately 190 years of human effort.

Key job responsibilities

As an Applied Scientist on the Search Ranking team, you will build search ranking models that work for thousands of product types, billions of queries, and hundreds of millions of customers spread around the world. You will find the next set of big improvements to ranking, leverage large datasets to understand the complexities of customer behavior, and build ML models that work at Amazon scale. Amazon's Search ranking relies on efficient early stage ranking followed by power final stage ranking models. this role will focus on developing efficient models and exploration techniques to optimize the early stage ranking phase.

A day in the life

Our primary focus is improving search ranking systems. On a day-to-day this means building ML models, analyzing data from your recent A/B tests, and collaborating with partner teams on joint goals. You will also find yourself in meetings with business and tech leaders at Amazon communicating your next big initiative.

About the team

We are a team consisting of ML scientists and software engineers. Our interests span machine learning for better ranking, reinforcement learning to bring the benefits of exploration to search ranking, and infrastructure to make it all happen at scale and efficiently.

Basic Qualifications:

• 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

Preferred Qualifications:

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

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. 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. Learn more about our benefits at https://amazon.jobs/en/benefits.

USA, WA, Seattle - 142,800.00 - 193,200.00 USD annually