Sr Applied Scientist, Products and Brands

Sr Applied Scientist, Sponsored Products and Brands

Job  |  Services LLC

The Sponsored Products and Brands team at Amazon Ads is re-imagining the advertising landscape through cutting-edge generative AI technologies, revolutionizing how millions of customers discover products and engage with brands across  and beyond. We are at the forefront of reinventing 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're energized by solving complex challenges and pushing the boundaries of what's possible with AI, join us in shaping the future of advertising.

• Collaborate with business, engineering and science leaders to establish science optimization and monetization roadmap for Amazon Retail Ad Service.
• Drive alignment across organizations for science, engineering and product strategy to achieve business goals.
• Lead and guide scientists and engineers across teams to develop, test, launch and improve science models designed to optimize the shopper experience and deliver long‑term value for Amazon advertisers and third‑party retailers.
• Develop state‑of‑the‑art experimental approaches and ML models to keep up with our growing needs and diverse set of customers.
• Participate in the science hiring process, mentoring other scientists and improving their skills, knowledge, and effectiveness.

Amazon Retail Ad Service within Sponsored Products and Brands is an ad‑tech solution that enables retailers to monetize their online web and app traffic by displaying contextually relevant sponsored products ads. Our mission is to provide retailers with an ad solution for every type of supply to meet their advertising goals, while enabling advertisers to manage their demand across multiple supplies (Amazon, off‑site, third‑party retailers) using tools they are already familiar with.

The problem space is challenging and exciting, involving varying traffic patterns, product catalogs, and shopper behaviors across different industries.

• PhD or Master’s degree with 6+ years of applied research experience.
• 3+ years of experience building machine learning models for business applications.
• Proficient programming skills in Java, C++, Python, or related languages.
• Experience with neural deep learning methods and machine learning.
• Expertise with generative deep learning models applicable to synthetic human creation (e.g., CNNs, GANs, VAEs, NF).

• Experience with modeling tools such as R, scikit‑learn, Spark MLLib, MxNet, Tensor Flow, Num Py, Sci Py.
• Experience with large‑scale distributed systems such as Hadoop, Spark.
• Experience in auctions or mechanism design.
• Experience with large‑scale machine learning systems, profiling, debugging, and performance scalability.

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 Amazon’s accommodations page.

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), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at Amazon Benefits.

USA, NY, New York Annual Salary: $ – $

September 16, 2025 (Updated about 3 hours ago)
October 20, 2025 (Updated about 4 hours ago)
August 28, 2025 (Updated 3 days ago)
January 9, 2026 (Updated 3 days ago)
October 15, 2025 (Updated 3 days ago)