Amazon
Sr. Applied Scientist, Amazon Fashion Tech
Amazon, Santa Clara, California, us, 95053
Sr. Applied Scientist, Amazon Fashion Tech Job ID: 2786761 | Amazon.com Services LLC
Scroll down for a complete overview of what this job will require Are you the right candidate for this opportunityAmazon 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. We apply ML solutions, such as mission-aware fashion shopping, understanding customer preferences on brands, and different cohorts of brands (e.g. premium, well recognized brands) to assist our customers easily discover relevant and quality brands and selections.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, dive deep into large-scale e-commerce customer shopping problems. We are particularly interested in candidates with experience with 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.BASIC QUALIFICATIONS
4+ years of applied research experience3+ years of building machine learning models for business application experiencePhD, or Master's degree and 6+ years of applied research experienceExperience programming in Java, C++, Python or related languageExperience with neural deep learning methods and machine learningPREFERRED QUALIFICATIONS
Knowledge of programming languages such as C/C++, Python, Java or PerlExperience 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.
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Scroll down for a complete overview of what this job will require Are you the right candidate for this opportunityAmazon 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. We apply ML solutions, such as mission-aware fashion shopping, understanding customer preferences on brands, and different cohorts of brands (e.g. premium, well recognized brands) to assist our customers easily discover relevant and quality brands and selections.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, dive deep into large-scale e-commerce customer shopping problems. We are particularly interested in candidates with experience with 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.BASIC QUALIFICATIONS
4+ years of applied research experience3+ years of building machine learning models for business application experiencePhD, or Master's degree and 6+ years of applied research experienceExperience programming in Java, C++, Python or related languageExperience with neural deep learning methods and machine learningPREFERRED QUALIFICATIONS
Knowledge of programming languages such as C/C++, Python, Java or PerlExperience 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.
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