Amazon is investing heavily in building a world class advertising business and developing a collection of self-service performance advertising products that drive discovery and sales. Our products are strategically important to our Retail and Marketplace businesses for driving long-term growth. We deliver billions of ad impressions and millions of clicks daily and are breaking fresh ground to create world-class products. We are highly motivated, collaborative and fun-loving with an entrepreneurial spirit and bias for action. With a broad mandate to experiment and innovate, we are growing at an unprecedented rate with a seemingly endless range of new opportunities.

DP Shelves team, within Sponsored Products DP Experience and Market place Org, is looking for a strong Applied Science Manager in Machine Learning, you will:

• \tDirectly manage and lead a cross-functional team of Applied Scientists, Data Scientists, Economists, Business Intelligence Engineers and Machine Learning engineers.

• \tLead business, science and engineering strategy and roadmap for Sponsored Products Detail Page product recommendations and whole page optimization when combing Ads and organic content on detail pages, run sprint and annual planning.

• \tDevelop and manage a research agenda that balances short term deliverables with measurable business impact as well as long term investments.

• \tRapidly design, prototype and test many possible hypotheses in a high-ambiguity environment, making use of both quantitative and business judgment

• \tAdvance the team's engineering craftsmanship and drive continued scientific innovation as a thought leader and practitioner.

• \tFoster cross-team collaboration to execute complex projects, drive alignment across organizations for science, engineering and product strategy to achieve business goals.

• \tPerform hands-on data analysis, build machine-learning models, run regular A/B tests, and communicate the impact to senior management.

• \tCollaborate with business and software teams across Amazon Ads.

• \tStay up to date with recent scientific publications relevant to the team.

• \tProvide technical and scientific guidance to team members.

• \tHire and develop top talent, provide technical and career development guidance to scientists and engineers within and across the organization.

About the team

Sponsored Products (SP) is Amazon's largest and fastest growing business. Over the last few years we grown to a multi-billion dollar business. SP ads are shown prominently throughout search and detail pages, allowing shoppers to seamlessly discover products sold on Amazon. Ad experience and market place is one of the highest impact decisions we make. This role has unparalleled opportunity to grow our marketplace and deliver value for advertisers and shoppers. You will invent new experiences and influence customer-facing shopping experiences; this is your opportunity to work within the fastest-growing businesses across all of Amazon!

We are open to hiring candidates to work out of one of the following locations:

New York, NY, USA | Seattle, WA, USA

BASIC QUALIFICATIONS

- 4+ years of applied research experience

- 3+ years of scientists or machine learning engineers management experience

- 3+ years of building machine learning models for business application experience

- PhD, or Master's degree and 6+ years of applied research experience

- Knowledge of ML, NLP, Information Retrieval and Analytics

- Experience programming in Java, C++, Python or related language

PREFERRED QUALIFICATIONS

- Experience building complex software systems, especially involving deep learning, machine learning and computer vision, that have been successfully delivered to customers

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.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $165,500/year in our lowest geographic market up to $286,000/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.

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