Skip to main content

Applied Scientist

Job ID: 1826289 | Services LLC


Job summary
Do you want the excitement of experimenting with cutting edge machine learning, natural language processing, computer vision, and active learning models to solve real world problems at scale? Imagine experimenting with Deep Neural Networks as your daily job and imagine using your model outputs to affect the product discovery of the biggest e-tailer in the world. Imagine leading research inside of an Amazon team that is always looking to deploy creative solutions to real world problems in product discovery. Your research findings are directly related to Amazon’s Browse experience and impact millions of customers, ingesting images, text and all the structured and unstructured attributes in the Amazon catalog to drive true understanding of products at scale.
The Amazon Product Knowledge Classification team is seeking an Applied Scientist for developing ML systems that can help classify Amazon products into our catalog and build new experiences for improving customer discovery of products. You will be part of Product Knowledge Classification Science team consisting of experienced Applied Scientists working on a new set of initiatives, building models and delivering them into the Amazon production ecosystem. Your efforts will build a robust ensemble of ML systems that can drive classification of products with a high precision and recall, and scale to new marketplaces and languages. This problem is challenging due to sheer scale (billions of products in the catalog), diversity (products ranging from electronics to groceries to instant video across multiple languages) and multitude of input sources (millions of sellers contributing product data with different quality).
We are looking for an experienced Scientist who can develop best in class solutions. Your primary customers are Amazon shoppers who would thank you for correctly identifying products in our catalogs across countries and languages.
The ideal Applied Scientist 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, Natural Language Processing, Computer Vision, Active learning, and Artificial Intelligence. S/he has a strong publication record at top relevant academic venues and experience in launching products/features in the industry.
Amazon Science gives you insight into the company’s approach to customer-obsessed scientific innovation. Amazon fundamentally believes that scientific innovation is essential to being the most customer-centric company in the world. It’s the company’s ability to have an impact at scale that allows us to attract some of the brightest minds in artificial intelligence and related fields. Our scientists continue to publish, teach, and engage with the academic community, in addition to utilizing our working backwards method to enrich the way we live and work.
Please visit for more information.


· PhD or equivalent Master's Degree plus 4+ years of experience in CS, CE, ML or related field
· Experience programming in Java, C++, Python or related language
· Proficiency in model development, model validation and model implementation.
· 2+ years hands on experience programming in Python, Java, C#, C++ or other similar programming languages
· Hands on experience with scripting languages such as Python, Perl


· PhD in Computer Science (Machine Learning, AI, Statistics, Electrical Engineering or equivalent);
· 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.
· More than 4 years of industrial/academic experience in building classification models
· Extensive practical experience in several of the following areas: ML, Natural Language Processing, 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 gigabyte and terabyte size 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;
· Proven track record in technically leading and mentoring scientists;
· Superior verbal and written communication and presentation skills, ability to convey rigorous mathematical concepts and considerations to non-experts.
· Strong fundamentals in problem solving, algorithm design and complexity analysis

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