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Description

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. 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.

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, machine learning to organize, rank, and create browsable and personalized recommendations.

Basic Qualifications

• 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

Preferred Qualifications

• 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 https://www.amazon.jobs/en/disability/us.

Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $150,400/year in our lowest geographic market up to $260,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.