Applied Scientist Gen AI - Amazon Advertising, CreativeX
Job ID: 3176927 | Amazon Development Centre (London) Limited
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.
The Creative X team within Amazon Advertising is focused on democratizing access to high-quality creatives (audio, images, videos, text) by building AI-driven solutions for advertisers. We invest in exploring how best users can leverage Generative AI methods such as latent-diffusion models, large language models, generative audio, computer vision, reinforced learning, and related technologies.
We are seeking talented Applied Scientists who are skilled at developing and using multi-modal Generative AI. You will apply state-of-the-art generative music and audio, computer vision, latent diffusion or related foundational models to accelerate the generation of high-quality creatives on behalf of advertisers. Every team member is expected to build customer-facing features, contribute to a collaborative spirit, publish, patent, and bring SOTA research to raise the bar.
Key responsibilities
* 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.
* Publish research at internal and external top scientific venues.
* Write and pursue intellectual property submissions.
Additional responsibilities
Develop 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. 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 and regularly engage with product managers, UX designers and engineers to productize your work.
A day in the life
On a day-to-day basis, you will conduct independent research, develop models, participate in sprint planning, collaborate with peers, demo new models, and share results with leaders and partner teams.
About the team
The team is a dynamic group of applied scientists, UX researchers, engineers and product leaders within the Creative X organization, focused on creating products that improve the quality of creatives within Amazon Ads.
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 in academic conferences (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.
* Strategic thinker who also excels at tactical execution.
* Excellent business judgment balancing business, product, and technology.
* Familiarity with computational advertising.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
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