Applied Scientist, Search Ranking

Amazon; Reading (MA); On-site; USD 143,000 - 193,000; Full time

Job summary

Amazon's Search team delivers ML-powered ranking models that connect customers with products worldwide. As an Applied Scientist on the Search Ranking team, you will develop ranking models for billions of queries and hundreds of millions of customers, focusing on efficient early-stage ranking and scalable exploration techniques.

You will analyze data from A/B tests, collaborate with business and tech teams, and push the boundaries of ML at Amazon scale.

Qualifications

• PhD or master's degree with 4+ years in CS/ML.
• Strong programming experience in Java, C++, Python.
• Experience in algorithms, data structures, numerical optimization, data mining, parallel and distributed computing.

Responsibilities

• Build search ranking models for thousands of product types and billions of queries.
• Analyze data from recent A/B tests and collaborate with cross-functional teams.
• Develop ML models that scale for Amazon's global search platform.
• Contribute to scalable ML infrastructure and efficient early stage ranking techniques.

Skills

Java

C++

Python

Algorithms

Data structures

Education

PhD or Masters with 4+ years in CS/ML

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

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