Description
Amazon Advertising is one of Amazon’s fastest growing 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 aims to democratize access to high‑quality creatives (audio, images, videos, text) by building AI‑driven solutions for advertisers. To accomplish this, we are investing in understanding how best users can leverage Generative AI methods such as latent‑diffusion models, large language models (LLM), generative audio (music and speech synthesis), computer vision (CV), reinforced learning (RL) and related technologies.
As An Applied Scientist On This Team, You Will
- Drive the invention and development of novel multi‑modal agentic architectures and models for the use of Generative AI methods in advertising.
- Work closely and integrate end‑to‑end proof‑of‑concept Machine Learning projects that have a high degree of ambiguity, scale and complexity.
- Build interface‑oriented systems that use Machine Learning models, perform proof‑of‑concept, experiment, optimize, and deploy your models into production; work closely with software engineers to assist in productionizing your ML models.
- Curate relevant multi‑modal datasets.
- Perform hands‑on analysis and modeling of experiments with human‑in‑the‑loop that increase traffic monetization and merchandise sales, without compromising the shopper experience.
- Run A/B experiments, gather data, and perform statistical analysis.
- Establish scalable, efficient, automated processes for large‑scale data analysis, machine‑learning model development, model validation and serving.
- Mentor and help recruit Applied Scientists to the team.
- Present results and explain methods to senior leadership.
- Willingness to publish research at internal and external top scientific venues.
- Write and pursue IP submissions.
Key job responsibilities
This role is focused on developing new multi‑modal Generative AI methods to augment generative imagery and videos. You will develop new multi‑modal paradigms, models, datasets and agentic architectures that will be at the core of advertising‑facing tools that we are launching. You may also work on development of ML and GenAI models suitable for advertising. You will conduct literature reviews to stay on the SOTA of the field. You will regularly engage with product managers, UX designers and engineers who will partner with you to productize your work.
For reference see our products: Enhanced Video Generator, Creative Agent and Creative Studio.
A day in the life
On a day‑to‑day basis, you will be doing your independent research and work to develop models, participate in sprint planning, collaborate with peers, demo new models and share results with peers, other partner teams and leadership.
About The Team
The team is a dynamic group of applied scientists, UX researchers, engineers and product leaders. We reside in the Creative X organization, which focuses on creating products for advertisers that will improve the quality of creatives within Amazon Ads.
We are open to hiring candidates to work out of one of the following locations: UK (London), USA (Seattle).
Basic Qualifications
- Experience researching, publishing and/or developing multi‑modal Generative AI systems.
- PhD, or Master’s degree and several years of experience in CS, CE, ML or related field.
- Experience with data curation and creation.
- Programming experience in Java, C++, Python or related ML language.
Preferred Qualifications
- Advanced degree in Computer Science, Mathematics, Statistics, Economics, or related quantitative field.
- Published relevant research work in academic conferences (e.g. CVPR, ICCV, ECCV, NEURIPS, etc.) or industry circles.
- Effective verbal and written communication skills with non-technical and technical audiences.
- Experience working with large real-world data sets and designing scalable models from big data.
- Think(s) strategically, but stays on top of tactical execution.
- Exhibits excellent business judgment; balances business, product, and technology very well.
- Familiarity with computational advertising.
Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.
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.
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