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Posted via Amazon Jobs

Sr Applied Scientist, CreativeX

Posted Oct 20, 2026

Role at a glance

Job function
AI & Data AI Research & Applied Science
Salary
Not yet verified Check the description for pay details; an amount or pay period has not been verified.
Location
New York, New York, United States Seattle, Washington, United States
Work arrangement
On-site
Experience
Senior Level Basic Qualifications - 6+ years of building machine learning models or developing algorithms for business application experience - PhD, or Master's degree and 6+ years of applied research experience - Experience with large scale machine learning systems such as profiling and debugging and understanding of system performance and scalability - Experience with neural deep learning methods and machine learning - Knowledge of programming languages such as C/C++, Python, Java or Perl Preferred Qualifications - Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. - Experience with large scale distributed systems such as Hadoop, Spark etc. - Experience in building machine learning models for business application
Education
PhD, or Master's degree and 6+ years of applied research experience

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Role Summary

AI-generated

The Applied Scientist develops generative AI science and product-ready code for advertiser-facing creative features. The role focuses on creating high-quality creative content using approaches such as large language models, generative audio, computer vision, and latent diffusion.

What You'll Do

  • Develop generative AI science and deliver product-ready code.
  • Build customer (advertiser)-facing features.
  • Publish, patent, and contribute innovation research.

Generated from the employer's posting. Verify important details before applying.

View full posting

Qualifications

Required: PhD, or Master's degree and 6+ years of applied research experience; 6+ years of building machine learning models or developing algorithms for business application; experience with large-scale machine learning systems, neural deep learning methods and machine learning; and knowledge of C/C++, Python, Java, or Perl.

Preferred

  • Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
  • Experience with large scale distributed systems such as Hadoop, Spark etc.
  • Experience in building machine learning models for business application

Original job description

Content provided by the employer

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

- 6+ years of building machine learning models or developing algorithms for business application experience
- PhD, or Master's degree and 6+ years of applied research experience
- Experience with large scale machine learning systems such as profiling and debugging and understanding of system performance and scalability
- Experience with neural deep learning methods and machine learning
- Knowledge of programming languages such as C/C++, Python, Java or Perl

Preferred Qualifications

- Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
- Experience with large scale distributed systems such as Hadoop, Spark etc.
- 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
amazon

About the company

amazon

Large Enterprise

Amazon is a global leader in e-commerce and cloud computing, founded in 1994 by Jeff Bezos. Initially starting as an online bookstore, it has since expanded its offerings to include a vast range of products and services, including electronics, fashion, and digital content. With Amazon Web Services (AWS), the company also provides powerful cloud solutions to businesses around the world. Known for its innovation, customer-centric approach, and commitment to operational efficiency, Amazon continues to shape the future of retail and technology, consistently seeking new ways to enhance customer experiences.