Applied Scientist, Search Ranking

About the Role

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.

Responsibilities

• Build search ranking models that work for thousands of product types, billions of queries, and hundreds of millions of customers spread around the world.
• 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.
• Focus on efficient models for the early stage ranking phase, and techniques to personalize these models and optimize them automatically.
• Build ML models, analyze data from recent A/B tests, and collaborate with partner teams on joint goals.
• Leverage agentic workflows to improve scientific velocity, and partner closely with engineering teams to bring ideas to production.
• Shape the future of search ranking by presenting proposals to Amazon's business and tech leaders.

About the Team

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

Basic Qualifications

• 4+ years of applied research experience
• 3+ years of building machine learning models for business application experience
• PhD, or Master's degree and 6+ years of applied research experience
• Experience programming in Java, C++, Python or related language
• Experience with neural deep learning methods and machine learning

Preferred Qualifications

• Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
• Experience with large scale distributed systems such as Hadoop, Spark etc.

Pay

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. USA, WA, Seattle - 167,100.00 - 226,100.00 USD annually.

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. Learn more about our benefits at https://amazon.jobs/en/benefits.

This response is AI-generated, for reference only.