Applied Scientist Gen AI - Amazon Advertising, CreativeX

Amazon • Seattle, WA

5d

About The Position

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 time 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.
As an Applied Scientist you will be part of a close-knit team of other applied
scientists and product managers, UX and engineers who are highly collaborative
and at the top of their respective fields.

We are looking for talented Applied Scientists who are adept at a variety of
skills, especially at the development and use of multi-modal Generative AI and
can use state-of-the-art generative music and 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 SOTA
research to raise the bar within the team.
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.
The team is a dynamic team 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 the creatives
within Amazon Ads.

Requirements

• 3+ years of building models for business application experience
• PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
• Experience in patents or publications at top-tier peer-reviewed conferences or journals
• Experience programming in Java, C++, Python or related language
• Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing

Nice To Haves

• Experience using Unix/Linux
• Experience in professional software development

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 eg 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.

Benefits

• 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
• parental leave

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: Ph.D. or professional degree