Applied Science Manager GenAI, CreativeX, Amazon Advertising

Amazon

Seattle, WA

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JOB DETAILS

SKILLS

Advertising, Artificial Intelligence (AI), Best Practices, Business Growth, Computer Science, Computer Vision, Engineering Management, Entrepreneurship, Green Business, Information Retrieval, Leadership, Machine Learning, Mathematics, Mentoring, Modeling Languages, Natural Language Processing (NLP), Operations Research, Patents, Product Engineering, Product Management, Publications, Quality Management, Retail, Revenue Growth, Robotics, Sales, Solution Sales, Statistics, Strategic Planning, Team Player, Technical Leadership

LOCATION

Seattle, WA

POSTED

1 day ago

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. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including 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, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, WA, Seattle - 183,800.00 - 248,700.00 USD annually

About the Company

Amazon

At Amazon, we don’t wait for the next big idea to present itself. We envision the shape of impossible things and then we boldly make them reality. So far, this mindset has helped us achieve some incredible things. Let’s build new systems, challenge the status quo, and design the world we want to live in. We believe the work you do here will be the best work of your life.

Wherever you are in your career exploration, Amazon likely has an opportunity for you. Our research scientists and engineers shape the future of natural language understanding with Alexa. Fulfillment center associates around the globe send customer orders from our warehouses to doorsteps. Product managers set feature requirements, strategy, and marketing messages for brand new customer experiences. And as we grow, we’ll add jobs that haven’t been invented yet.

It’s Always Day 1
At Amazon, it’s always “Day 1.” Now, what does this mean and why does it matter? It means that our approach remains the same as it was on Amazon’s very first day – to make smart, fast decisions, stay nimble, invent, and stay focused on delighting our customers. In our 2016 shareholder letter, Amazon CEO Jeff Bezos shared his thoughts on how to keep up a Day 1 company mindset. “Staying in Day 1 requires you to experiment patiently, accept failures, plant seeds, protect saplings, and double down when you see customer delight,” he wrote. “A customer-obsessed culture best creates the conditions where all of that can happen.” You can read the full letter here

Our Leadership Principles
Our Leadership Principles help us keep a Day 1 mentality. They aren’t just a pretty inspirational wall hanging. Amazonians use them, every day, whether they’re discussing ideas for new projects, deciding on the best solution for a customer’s problem, or interviewing candidates. To read through our Leadership Principles from Customer Obsession to Bias for Action, visit https://www.amazon.jobs/principles

COMPANY SIZE

10,000 employees or more

INDUSTRY

Other/Not Classified

FOUNDED

1994

WEBSITE

http://Amazon.com/militaryroles

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