Applied Scientist, Machine Learning

Amazon in Seattle, WA

  • Industry: Manufacturing - Patternmaking (Apparel And Texture)
  • Type: Full Time
  • Compensation: $105,106.67 - 200,710.00 / Year*
position filled
Amazon's Sponsored Ads is one of the fastest growing business domains and we are looking senior level scientists with experience building complex machine learning models and writing elegant prototype code. We are still in Day 1 and there is an abundance of opportunities that are yet to be explored. We are a team of highly motivated and collaborative applied scientists and software development engineers with an entrepreneurial spirit and bias for action. With the team growing at an unprecedented rate, there is broad mandate to experiment and innovate!
Our systems and algorithms operate on one of the world's largest product catalogs, matching shoppers with products - with a high relevance bar and strict latency constraints. The ads sourcing works across the spectrum of ad serving including coverage expansion, increasing utilization of tail detail pages, ad relevance, ad quality, collaborative filtering, and much more. Our technology enables thousands of brands, sellers and authors to drive discovery and sales of their products at Amazon by millions of customers.
We are looking for an Applied Scientists, with a background in Machine Learning to optimize serving ads on billions of product pages. The solutions you create/deploy would ensure relevant ads are served to Amazon's customers. You will directly impact the shopping experience while helping our advertisers get the maximum ROI. You will be expected to demonstrate strong ownership and should be curious to learn and leverage the rich textual, image, and other contextual signals.
This role will challenge you to utilize cutting-edge machine learning techniques in the domain of predictive modeling, natural language processing (NLP), deep learning, and image recognition to deliver significant impact for the business. Ideal candidates will be able to work cross functionally across multiple stakeholders, synthesize the science needs of our business partners, develop models to solve business needs, and implement solutions in production.
Basic Qualifications
* Phd in Computer Science, Statistics or related field.
* 2+ years hands on experience in applied machine learning, predictive modeling and large data analysis
* 4+ years of building ML models and bringing ML models to production systems.
* 4+ years of experience one of the common programming languages, e.g., Python or Java.
Amazon is an Equal Opportunity Employer Minority / Women / Disability / Veteran / Gender Identity / Sexual Orientation / Age
Associated topics: .net, application, devops, java, perl, sde, sdet, software developer, software programmer, sw

* Estimated salary


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