Applied Scientist II, Products

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 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’re energized by solving complex challenges and pushing the boundaries of what’s possible with AI, join us in shaping the future of advertising.

• Participate in the science hiring process and mentor other scientists, improving their skills, knowledge of solutions, and ability to get things done.
• Identify and devise new video‑related solutions using a customer‑obsessed scientific approach to address problems that are ill‑defined, need framing, and may require new methodologies or paradigms at the product level.
• Articulate potential scientific challenges of current and future customer needs or business problems, and present interventions to address them.
• Independently assess alternative video‑related technologies, driving evaluation and adoption of those that fit best.

As an Applied Scientist on the Sponsored Brands Video team, you will work with a team of talented and experienced engineers, scientists, and designers to help bring new products to market and ensure that our customers are delighted by what we create. The team is responsible for the design, development, and implementation of Sponsored Brands Video experiences worldwide.

The Sponsored Brands Video team within Sponsored Products and Brands creates relevant and engaging video experiences, connecting advertisers and shoppers. We are on a mission to make Amazon the best‑in‑class destination for shoppers to discover, engage, and build affinity with brands, making shopping delightful and personal.

• 3+ years of building models for business application experience.
• PhD, or Master’s degree and 4+ years of CS, CE, ML or related field experience.
• Experience programming in Java, C++, Python or related language.
• Experience in algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high‑performance computing.
• Experience with vLLM, SGLang, TensorRT or similar platforms in production environments, or experience developing and deploying LLMs in production on GPUs, Neuron, TPU or other AI acceleration hardware.

• Experience with Machine Learning and Large Language Model fundamentals, including architecture, training/inference life cycles, and optimization of model execution, or experience contributing to the architecture and design of new and current systems.
• Experience developing, deploying and managing AI products at scale.
• Experience with video compression.
• Understanding of image processing fundamentals.

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 (Use the "Apply for this Job" box below).

for more information. If the country/region you’re applying in isn’t listed, please contact your recruiting partner.

Our benefits include health insurance (medical, dental, vision, prescription), Basic Life & AD&D insurance and optional supplemental life plans, employee assistance program, mental health support, medical advice line, flexible spending accounts, and adoption and surrogacy reimbursement coverage; 401(k) matching; paid time off; and parental leave. Learn more at .

USA, NY, New York – $ – $ USD annually.