Applied Scientist

Job description

DESCRIPTION

Amazon Business represents an incredible opportunity to address a vast new market segment and customer base and is an area of high interest for Amazon. We are focused on building solutions that enable B2B customers to find, research, and buy products and services from a vast selection, across multiple devices, marketplaces and regions. Our customers include individual professionals, small businesses to large institutions (and everything in between). Business customers have different needs than the traditional Amazon customer so we are reinventing everything from how we display our selection, price our products, and provide the right customer experience.

The Amazon Business Selection Classification and Catalog Quality team is seeking an Applied Scientist for developing ML techniques that can help with applying industry classification to Amazon products into our catalog and also build new ways to improve our catalog content. The Amazon Business Selectin Classification team works on new set of initiatives where we are standardizing the taxonomy that can be leveraged at scale by Business customers across various different verticals and segments. Your focus will be building models and delivering them into the Amazon production ecosystem. This is an exciting problem to solve as you are planned to work with billions of products in our catalog and drive classification of these products with a high degree of precision and scale to multiple marketplaces.
The ideal candidate has deep expertise in one or several of the following fields: Web search, Applied/Theoretical Machine Learning, Deep Neural Networks, Classification Systems, Clustering, Label Propagation, Artificial Intelligence

PREFERRED QUALIFICATIONS

§ More than 4 years of industrial/academic experience in building classification models
§ Extensive practical experience in several of the following areas: ML, Recommendation Systems, Clustering techniques, applied ML or AI features/products/systems
§ Ability to handle multiple competing priorities in a fast-paced environment
§ Significant peer reviewed scientific contributions in premier journals and conferences
§ Proven track record of production achievements, handling huge datasets
§ Strong personal interest in learning, researching, and creating new technologies with high customer impact.
§ Experience with defining research and development practices in an applied environment;
§ Superior verbal and written communication and presentation skills, ability to convey rigorous mathematical concepts and considerations to non-experts.

Amazon is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation.

Desired profile

BASIC QUALIFICATIONS

§ PhD in Computer Science (Machine Learning, AI, Statistics, or equivalent);
§ 4+ years of practical experience applying ML to solve complex problems;
§ Experience using Java, C++, or other programming language, as well as with R, MATLAB, Python or similar scripting language;
§ Experience distilling informal customer requirements into problem definitions, dealing with ambiguity and competing objectives
§ Experience delivering systems into production with high precision.
§ Strong fundamentals in problem solving, algorithm design and complexity analysis