Applied Scientist, Search Ranking

Job summary

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.

Benefits

Qualifications

• We harness machine learning at Amazon's scale to make the customer experience easier and smoother.
• 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
• 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 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).

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

Degrees

Industry

Company size

Contract length