Sr Applied Scientist, CreativeX
SEATTLE, WAJob$167–226K/yrSeen 1w agoSeen in employer's feed 6 days ago
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At a glance
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Job overview
Amazon Advertising’s Creative X team builds AI-driven solutions that help advertisers create high-quality text, audio, images, and videos. The team invests in generative AI methods and seeks Applied Scientists with experience developing generative AI science and delivering product-ready code. Team members build advertiser-facing features, collaborate with scientists and product managers, and are expected to publish, patent, and advance research.
Skills & qualifications
Skills
Qualifications
Benefits
Full job description
Description
Amazon Advertising is one of Amazon's fastest growing and most profitable businesses. Amazon's advertising portfolio helps merchants, retail vendors, and brand owners succeed via native advertising, which grows incremental sales of their products sold through Amazon. The primary goals are to help shoppers discover new products they love, be the most efficient way for advertisers to meet their business objectives, and build a sustainable business that continuously innovates on behalf of customers. Our products and solutions are strategically important to enable our Retail and Marketplace businesses to drive long-term growth. We deliver billions of ad impressions and millions of clicks and break fresh ground in product and technical innovations every day! The Creative X team within Amazon Advertising time aims to democratize access to high-quality creatives (text, audio, images, videos) by building AI-driven solutions for advertisers. To accomplish this, we are investing in latent-diffusion models, large language models (LLM), generative audio (music and speech synthesis), computer vision (CV), reinforced learning (RL) and related methods. You will be part of a close-knit team of applied scientists and product managers who are highly collaborative and at the top of their respective fields. We are looking for talented Applied Scientists who have a proven record of developing Generative AI science at the highest standards of innovation, and experience working and delivering product-ready code, are adept at a variety of skills, especially with LLMs, generative audio, computer vision, latent diffusion or related foundational models that will accelerate our plans to generate high-quality creatives on behalf of advertisers. Every member of the team is expected to build customer (advertiser) facing features, contribute to the collaborative spirit within the team, publish, patent, and bring innovation research to raise the bar within the team.
Basic Qualifications
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6+ years of building machine learning models or developing algorithms for business application experience
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PhD, or Master's degree and 6+ years of applied research experience
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Experience with large scale machine learning systems such as profiling and debugging and understanding of system performance and scalability
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Experience with neural deep learning methods and machine learning
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Knowledge of programming languages such as C/C++, Python, Java or Perl
Preferred Qualifications
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Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
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Experience with large scale distributed systems such as Hadoop, Spark etc.
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Experience in building machine learning models for business application
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 - 183,800.00 - 248,700.00 USD annually
USA, WA, SEATTLE - 167,100.00 - 226,100.00 USD annually
How this job compares
Set against the 1,075 open Applied Scientist jobs on Olive Jobs, counted November 3, 2026.
- Pay
- This posting$167–226K/yr
- Washington median$143–226K/yr242 salary ranges
- US median$158–264K/yr1,036 salary ranges
This range's midpoint, $197K, is close to the Washington median midpoint ($197K) — in the middle half of Applied Scientist salary ranges in Washington.
- Openings
- Olive Jobs lists 248 open Applied Scientist jobs in Washington and 1,075 across the US. Under 1% of them nationwide are listed as remote or flexible.
- Hiring the most in Washington
- Amazon (this employer)195 open
- Microsoft Corporation23 open
- Oracle8 open
- Experience
- This posting asks for at least 6 years of experience; Applied Scientist postings that state a minimum ask for 5 years at the median (918 postings).
- Education
- 582 of the 1,075 open Applied Scientist jobs (54%) ask for a bachelor's degree or higher.
Counted across the open, public US postings on Olive Jobs on November 3, 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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