Applied Science Manager GenAI, CreativeX, Amazon Advertising

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 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.

Key job 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.

A day in the life

On a day-to-day basis, you will lead and mentor technical talent, engage and align with product, engineering and other stakeholders, dive deep on advertiser anecdotes and make sure that what the team delivers and is working on aligns with those needs and best practices. You will define and deliver mechanisms to create innovation at scale and engage with senior leadership to align on priorities and opportunities.

About the team

The team consists of applied scientists and AI software/machine learning engineers. 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.

BASIC QUALIFICATIONS

• 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

PREFERRED QUALIFICATIONS

• 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.

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