Applied Science Manager, Sponsored Products and Brands Ads Response Prediction

Job Description

Locations

• United States, WA, Seattle, Seattle, WA, United States
• United States, CA, Palo Alto, Palo Alto, CA, United States

Salary

Salary not disclosed

Skills Required

• - 4+ years of applied research experienceintermediate
• - 3+ years of scientists or machine learning engineers management experienceintermediate
• - 3+ years of building machine learning models for business application experienceintermediate
• - PhD, or Master's degree and 6+ years of applied research experienceintermediate
• - Knowledge of ML, NLP, Information Retrieval and Analyticsintermediate
• - Experience programming in Java, C++, Python or related languageintermediate

Required Qualifications

• - 4+ years of applied research experience (experience, 4 years)
• - 3+ years of scientists or machine learning engineers management experience (experience, 3 years)
• - 3+ years of building machine learning models for business application experience (experience, 3 years)
• - PhD, or Master's degree and 6+ years of applied research experience (experience, 6 years)
• - Knowledge of ML, NLP, Information Retrieval and Analytics (experience)
• - Experience programming in Java, C++, Python or related language (experience)

Preferred Qualifications

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

Responsibilities

• As an Applied Science Manager, you will:
• * Directly manage and lead a cross-functional team of Applied Scientists, Machine Learning Engineers, and Software Development Engineers.
• * Develop science and engineering roadmaps for SPB ads CTR prediction with ML and Gen AI solutions, run annual planning, and foster cross-team collaboration on model development and integration to advertising applications.
• * Hire and develop top talent, provide technical and career development guidance to scientists and engineers within and across the organization.
• * Stay informed about recent scientific publications, industrial research trends, and system designs that are pertinent to the SPB advertising business and bring those insights with the team.
• About the team
• The Ad Response Prediction team within Sponsored Products and Brands (SPB) drives personalized shopping experiences for SPB Ads across placements, pages, and devices worldwide. We achieve this through ML and GenAI solutions that include customized shopper response prediction and session-level understanding to optimize every stage of the ad-serving process, from sourcing and bidding to widget discovery and auctions. Our responsibilities include advancing response prediction through model and feature innovations and extending prediction beyond the auction stage to areas such as targeting, sourcing, and bidding.
• We are seeking an Applied Science Manager with a strong background in ML and Gen AI solutions. The ideal candidate shall have experience managing both scientists and engineers and will be passionate about applying these technologies to the advertising domain.

Documents

• Accommodations Information (web)
• https://www.aboutamazon.com/workplace/employee-benefits (web)

Application Instructions

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