Sr. Applied Scientist Gen AI, Amazon Advertising - CreativeX

Amazon • Seattle, WA

7d

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 Agentic AI, 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.

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, you will participate in sprint planning, collaborative sessions
with your peers, and demo new models and share results with peers, other partner
teams and leadership.

About the team
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 machine learning models for business application experience
• PhD, or Master's degree and 6+ years of applied research experience
• Experience programming in Java, C++, Python or related language
• Experience with neural deep learning methods and machine learning

Nice To Haves

• 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.

Responsibilities

• Drive the invention and development of novel AI Agent architectures and video/image/audio generation models in advertising.
• Strong expertise in AI agent evaluation methodologies and complex task decomposition; hands-on experience with AI-powered video generation pipelines;
• Deep knowledge in LLM/VLM fine tuning and reinforcement learning.
• 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.
• 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