Applied Science Manager GenAI, CreativeX, Amazon Advertising

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 (images, videos) by building AI-driven solutions for

advertisers. To accomplish this, we are investing in latent-diffusion models,

large language models (LLM), computer vision (CV), reinforced learning (RL), and

image + video and audio synthesis.

We are looking for a talented Applied Science Manager who can help set the

scientific agenda and provide best in class mentoring within the scope of

advancing advertiser-facing generative AI. You will help lead scientists within

a close-knit team who is highly collaborative and at the top of their respective

fields.

Our science team is adept at a variety of skills, especially with agentic AI,

generative multi-modal models, LLMs, computer vision, latent diffusion and

related foundational models. As a Science Manager you will:

Help set the scientific agenda in collaboration with org's leadership, product

managers, engineering and relevant stakeholders.

You will guide the team to be world-class at developing large scale generative

AI for advertising.

Help mentor scientists towards also contributing with patent submissions,

potential peer-reviewed research publications and bar raising hiring.

Contribute and help establish mechanisms for science management,

brainstorming, monitoring and validation of outputs.

Hire and develop the best science talent at Amazon.

Present strategy, methods and results to senior leadership.

Why you will love this opportunity

Amazon is investing heavily in building a world-class advertising business. This

team defines and delivers a collection of advertising products that drive

discovery and sales. Our solutions generate billions in revenue and drive

long-term growth for Amazon’s Retail and Marketplace businesses. We deliver

billions of ad impressions, millions of clicks daily, and break fresh ground to

create world-class products. We are a highly motivated, collaborative team with

an entrepreneurial spirit - with a broad mandate to experiment and innovate.

Responsibilities

• Manage and lead science and AI software (/MLE) engineering talent to deliver

world-class innovative generative AI for advertising.

• Help set the scientific agenda in collaboration with org's leadership, product

managers, engineering and relevant stakeholders.

• Help mentor scientists & AI software talent towards contributing with patent

submissions, potential peer-reviewed research publications and bar raising

mentoring and hiring.

• Contribute and help establish mechanisms for science and technical management,

brainstorming, monitoring and validation of outputs.

• Hire and develop the best technical talent at Amazon.
• Write strategy and alignment documents for partners within and outside the

org.

• Present strategy, methods and results to senior leadership.

Requirements

• 3+ years of scientists or machine learning engineers management experience
• Knowledge of ML, NLP, Information Retrieval and Analytics
• PhD in engineering, technology, computer science, machine learning, robotics,

operations research, statistics, mathematics or equivalent quantitative field

• Experience developing, deploying and managing AI products at scale

Nice-to-haves

• Experience leading technical initiatives and key deliverables
• Experience writing strategy documents for executive audiences with clear

recommendations in the midst of ambiguity

• Background in Agentic AI, Machine Learning, Computer Science.

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