Sr. Applied Scientist, Amazon Fashion Tech
Amazon Fashion Technology is looking for a Sr. Applied Scientist to lead our ML visioning and developing Machine Learning solutions to solve customer search and discovery problems at scale. Our Search & Discovery science team uses Machine Learning, Deep Learning, Reinforcement Learning, and Causal Inference to derive actionable insights about the complex economy of Amazon’s retail business. We also develop Statistical Models and Algorithms to drive strategic business decisions and improve operations. We are a science-driven team incubating and building disruptive solutions using cutting-edge technology to solve some of the toughest business problems at Amazon.
You will work with business leaders, scientists, and engineers to translate business and functional requirements into concrete deliverables, including the design, development, testing, and deployment of highly scalable distributed ML models and services. You will partner with scientists, product managers, and engineers to help invent and implement scalable ML, RL, and econometric models while building tools to help our customers gain and apply insights. This is a unique, high visibility opportunity for someone who wants to have significant business impact and dive deep into large-scale e-commerce customer shopping problems. We are particularly interested in candidates with experience in NLP, DL, and distributed recommendation systems.
As a Sr. Applied Scientist, you bring structure to ambiguous business problems and use science, logic, and practical experience to decompose them into straightforward, scalable solutions. You set the standard for scientific excellence and make decisions that affect the way we build and integrate algorithms. Your solutions are exemplary in terms of algorithm design, clarity, model structure, efficiency, and extensibility. You tackle intrinsically hard problems; you're interested in learning; and you acquire skills and expertise as needed.
About the team
The mission of our Search & Discovery team in Fashion Tech is to make Amazon’s online store the preferred shopping destination for customers by creating discovery and evaluation experiences that delight. We enable customers to discover products they love by using data and machine learning to organize, rank, and create browsable and personalized recommendations.
Minimum Requirements
- 4+ years of applied research experience
- 3+ years of building machine learning models for business application experience
- PhD, or Master's degree and 6+ years of applied research experience
- Experience programming in Java, C++, Python or related language
- Experience with neural deep learning methods and machine learning
- Knowledge of programming languages such as C/C++, Python, Java or Perl
- Experience with popular deep learning frameworks such as MxNet and Tensor Flow.
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
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