Applied Science Manager, Products and Brands Offsite

Applied Science Manager, Sponsored Products and Brands -- Offsite

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The Sponsored Products and Brands (SPB) team at Amazon Ads is re-imagining the advertising landscape through industry leading generative AI technologies, revolutionizing how millions of customers discover products and engage with brands across  and beyond. We are at the forefront of re‑inventing advertising experiences, bridging human creativity with artificial intelligence to transform every aspect of the advertising lifecycle from ad creation and optimization to performance analysis and customer insights.

We are a passionate group of innovators dedicated to developing responsible and intelligent AI technologies that balance the needs of advertisers, enhance the shopping experience, and strengthen the marketplace. If you are energized by solving complex challenges and pushing the boundaries of what’s possible with AI, join us in shaping the future of advertising.

The Sponsored Products and Brands – Offsite team builds solutions that extend campaigns beyond the Amazon store, reaching shoppers across third‑party environments where they discover and shop. We combine large‑scale, low‑latency systems with advanced machine learning and AI to deliver high‑quality sponsored experiences in high‑intent surfaces.

• Lead Applied Scientists, Machine Learning Engineers, and Software Development Engineers.
• Surface qualitative and quantitative insights as the voice of the advertisers to shape product direction and ensure product‑market fit.
• Develop science and engineering roadmaps to increase advertiser outcomes with ML and GenAI solutions, run annual planning, and foster cross‑team collaboration on model development.
• 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, industry trends, and system designs.
• Work with off‑Amazon publishers to launch new high‑impact placements that increase advertiser outcomes.
• Develop and own mechanisms to track and improve advertiser performance.
• Distill complex ideas into clear and concise communication across mediums.

• 4+ years of applied research experience.
• 3+ years of managing scientists or machine learning engineers.
• 3+ years of building machine learning models for business applications.
• PhD or Master’s degree with 6+ years of applied research experience.
• Knowledge of ML, NLP, information retrieval, analytics.
• Experience programming in Java, C++, Python or related languages.
• Experience building complex software systems involving deep learning, machine learning and computer vision successfully delivered to customers.
• Experience applying ML to solve complex problems at large scale.
• Experience with big data technologies such as AWS, Hadoop, Spark, Pig, Hive.
• Experience in people management and coordinating across teams.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Benefits include competitive salary, sign‑on payments, restricted stock units, health insurance (medical, dental, vision, prescription, basic life & AD&D), supplemental life plans, employee assistance program, mental health support, flexible spending accounts, adoption and surrogacy reimbursement, 401(k) matching, paid time off, and parental leave. Learn more at (Use the "Apply for this Job" box below)..

Base salary ranges: USA, CA, Palo Alto – $ – $ annually; USA, NY, New York – $ – $ annually; USA, WA, Seattle – $ – $ annually.