Applied Scientist, Sponsored Products and Brands
Arlington, VAJob$143–193K/yrSeen 4 days agoSeen in employer's feed 4 days ago
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At a glance
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Job overview
Amazon Ads’ Sponsored Products and Brands Ad Response Prediction team develops machine learning models and infrastructure to deliver relevant ads across Amazon platforms. The Applied Scientist partners with engineers and scientists on model training and inference, including emerging LLM-based systems. The role focuses on research, scalable modeling, optimization, and infrastructure for large-scale training and real-time inference.
Skills & qualifications
Skills
Qualifications
Benefits
Full job description
Description
About Sponsored Products and Brands
The Sponsored Products and Brands (SPB) team at Amazon Ads is re-imagining the advertising landscape through generative AI technologies, revolutionizing how millions of customers discover products and engage with brands across Amazon.com 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.
About our team
SPB Ad Response Prediction team is your choice, if you want to join a highly motivated, collaborative, and fun-loving team with a strong entrepreneurial spirit and bias for action. We are seeking an experienced and motivated Applied Scientist with machine learning engineering background who loves to innovate at the intersection of customer experience, deep learning, and high-scale machine learning systems.
We are looking for a talented Applied Scientist with a strong background in machine learning engineering to join our team and help us grow the business. In this role, you will partner with a team of engineers and scientists to build advanced machine learning models and infrastructure, from training to inference, including emerging LLM-based systems, that deliver highly relevant ads to shoppers across all Amazon platforms and surfaces worldwide.
Key job responsibilities
As an Applied Scientist, you will:
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Develop scalable and effective machine learning models and optimization strategies to solve business problems.
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Conduct research on new machine learning modeling to optimize all aspects of Sponsored Products business.
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Enhance the scalability, automation, and efficiency of large-scale training and real-time inference systems.
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Pioneer the development of LLM inference infrastructure to support next-generation GenAI workloads at Amazon Ads scale.
Basic Qualifications
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3+ years of building models for business application experience
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PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
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Experience programming in Java, C++, Python or related language
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Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing
Preferred Qualifications
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Experience using Unix/Linux
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Experience in professional software development
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.
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 .
USA, NY, New York - 172,400.00 - 223,400.00 USD annually
USA, VA, Arlington - 142,800.00 - 193,200.00 USD annually
USA, WA, SEATTLE - 142,800.00 - 193,200.00 USD annually
How this job compares
Set against the 1,031 open Applied Scientist jobs on Olive Jobs, counted November 8, 2026.
- Pay
- This posting$143–193K/yr
- Virginia median$151–226K/yr34 salary ranges
- US median$158–264K/yr987 salary ranges
This range's midpoint, $168K, is 14% below the Virginia median midpoint ($196K) — in the middle half of Applied Scientist salary ranges in Virginia.
- Openings
- Olive Jobs lists 34 open Applied Scientist jobs in Virginia and 1,031 across the US. 1% of them nationwide are listed as remote or flexible.
- Experience
- This posting asks for at least 3 years of experience; Applied Scientist postings that state a minimum ask for 5 years at the median (839 postings).
- Education
- 431 of the 1,031 open Applied Scientist jobs (42%) ask for a bachelor's degree or higher.
Counted across the open, public US postings on Olive Jobs on November 8, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.
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