Applied Scientist, International Seller Services
DESCRIPTION
We are seeking a stellar Machine Learning scientist who has 3+ years of industry experience developing and shipping large scale ML products with visible customer impact. We would prefer if your previous work has been in scalable recommendation and ranking systems. Strong academic background in Machine and Deep Learning is required with Tier -1 publications being a plus. We value great talent & flexibility and hence are open to remote/flexible work from anywhere in the US.
Key job responsibilities
In this position, you will be a key contributor (with direct leadership visibility) building, productionizing (real & batch) and measuring impact of state of the art personalized recommendation engines for Amazon global selling partners and contribute to Amazon wide research in this area in the form of publications and white papers. You will get to drive the technical roadmap for our ML products and interact with global leaders and teams across Europe, Japan, China, Australia, and other regions on a regular basis.
About the team
Millions of Sellers list their products for sale on the Amazon Marketplace. Sellers are a critical part of Amazon’s ecosystem to deliver on our vision of offering the Earth’s largest selection and lowest prices. In this ecosystem, the International Seller Services org (ISS) plays a critical role in enabling Sellers across EU5, China, Japan, Australia, Brazil and Turkey to make their Selection available to customers globally and deliver the experience they have come to expect from Amazon.
In Jeff’s own words (2019 Q1 shareholders letter): “Something strange and remarkable has happened over the last 20 years. Take a look at these numbers: 1999 - 3% …… 2018 - 58%. The % represent the share of physical gross merchandise sales sold on Amazon by independent third-party sellers – mostly small- and medium-sized businesses – as opposed to Amazon retail's own first party sales. Third-party sales have grown from 3% of the total to 58%. To put it bluntly: Third-party sellers are kicking our first party butt. Badly.…. Why were independent sellers able to grow so much faster than Amazon's own highly organized first-party sales organization? There isn't one answer, but we do know one extremely important part of the answer: We helped independent sellers compete against our first-party business by investing in and offering them the very best selling tools we could imagine and build. We are pushing the boundaries of these machine learning tools in areas of recommendation, ranking, sentiment analysis, forecasting and causal inference to help our sellers sell more and across borders.
BASIC QUALIFICATIONS
- 3+ years of building models for business application experience
- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
- Experience in patents or publications at top-tier peer-reviewed conferences or journals
- 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 committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.