Applied Science Manager, Amazon Publisher Monetization Stores
Amazon, San Francisco, CA, United States
Overview The Amazon Publisher Monetization Stores team is seeking an experienced Manager, Applied Science to lead our Stores Supply Science team and our Stores Supply Applied Science Engineering team. In this role, you will be responsible for developing novel machine learning and optimization solutions to drive improvements in the monetization of digital content for Amazon's publishing partners. You will collaborate closely with product, engineering, and business stakeholders to identify high-impact opportunities, define technical roadmaps, and deliver innovative solutions at scale. Equally importantly you will represent APM Stores Science across the broader Ads science community (e.g. Sponsored Products, Sponsored Brands, DSP and Ads Econ) and drive collaboration and harmonization. This is an exciting opportunity to leverage your depth of applied science expertise to shape the future of Amazon's publisher monetization platform and have a significant impact on the business.
Location specifics and compensation details, including the base salary range and benefits (health, 401(k), paid time off, etc.), are provided below.
Responsibilities Lead the Stores Supply Science team and Applied Science Engineering teams as a direct manager, setting the technical vision and implementation, managing performance, and developing your team members.
Work closely with product, engineering, and business stakeholders to define the technical roadmap and ensure the delivery of high-impact solutions.
Represent APM Stores Science across the broader Ads science community.
Identify new opportunities to leverage data and advanced analytics to unlock value for Amazon's publishing partners.
Foster a culture of innovation, agility, and customer obsession within your teams.
A day in the life: collaborate with key stakeholders, lead your teams, and drive development and deployment of high-impact solutions, including: meeting with product and business leaders; reviewing progress; defining roadmaps; presenting to senior leadership; providing career feedback; staying current with ML advancements and exploring applications to the business.
Basic Qualifications 3+ years of scientists or machine learning engineers management experience.
3+ years of building machine learning models for business applications experience.
PhD, or Master’s degree and 5+ years of applied research experience.
Knowledge of ML, NLP, Information Retrieval and Analytics.
Experience programming in Java, C++, Python or related language.
4+ years of applied research experience.
Preferred Qualifications Experience building complex software systems, especially involving deep learning, machine learning and computer vision, that have been successfully delivered to customers.
Equal Opportunity Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
Benefits and Compensation The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits .
Location: USA, NY, New York - 202,200.00 - 273,600.00 USD annually
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Location specifics and compensation details, including the base salary range and benefits (health, 401(k), paid time off, etc.), are provided below.
Responsibilities Lead the Stores Supply Science team and Applied Science Engineering teams as a direct manager, setting the technical vision and implementation, managing performance, and developing your team members.
Work closely with product, engineering, and business stakeholders to define the technical roadmap and ensure the delivery of high-impact solutions.
Represent APM Stores Science across the broader Ads science community.
Identify new opportunities to leverage data and advanced analytics to unlock value for Amazon's publishing partners.
Foster a culture of innovation, agility, and customer obsession within your teams.
A day in the life: collaborate with key stakeholders, lead your teams, and drive development and deployment of high-impact solutions, including: meeting with product and business leaders; reviewing progress; defining roadmaps; presenting to senior leadership; providing career feedback; staying current with ML advancements and exploring applications to the business.
Basic Qualifications 3+ years of scientists or machine learning engineers management experience.
3+ years of building machine learning models for business applications experience.
PhD, or Master’s degree and 5+ years of applied research experience.
Knowledge of ML, NLP, Information Retrieval and Analytics.
Experience programming in Java, C++, Python or related language.
4+ years of applied research experience.
Preferred Qualifications Experience building complex software systems, especially involving deep learning, machine learning and computer vision, that have been successfully delivered to customers.
Equal Opportunity Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
Benefits and Compensation The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits .
Location: USA, NY, New York - 202,200.00 - 273,600.00 USD annually
#J-18808-Ljbffr