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Applied Scientist II, Products

Job in Seattle, King County, Washington, 98127, USA
Listing for: Amazon
Full Time position
Listed on 2026-06-14
Job specializations:
  • IT/Tech
    Machine Learning/ ML Engineer, AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below
Position: Applied Scientist II, Sponsored Products

Applied Scientist II, Sponsored Products

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.

Key job responsibilities
  • Participate in the Science hiring process and mentor other scientists to improve their skills and knowledge.
  • Identify and devise new video‑related solutions using a customer‑obsessed scientific approach to address ill‑defined business problems and invent new methodologies at the product level.
  • Articulate potential scientific challenges of ongoing or future customer needs and present interventions.
  • Independently assess alternative video technologies, driving evaluation and adoption of those that fit best.
A day in the life

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.

About the team

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.

Basic Qualifications
  • 3+ years of building models for business applications.
  • PhD or Master’s degree and 4+ years of experience in CS, CE, ML or related fields.
  • Programming experience in Java, C++, Python or related languages.
  • Experience in algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, and high‑performance computing.
  • Experience with vLLM, SGLang, Tensor

    RT or similar platforms in production environments, or experience developing and deploying LLMs on GPUs, Neuron, TPU or other AI acceleration hardware.
Preferred Qualifications
  • Experience with ML and Large Language Model fundamentals, including architecture, training/inference life cycles, and optimization of model execution, or experience contributing to the design and reliability 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.

The base salary range for this position in USA, NY, New York is $ – $ USD annually. 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 optional supplemental life plans), EAP, 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 about our benefits at (Use the "Apply for this Job" box below)..

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