Principal Applied Scientist, Amazon Publisher Monetization - Prime Video Ads

Amazon

Seattle, WA

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JOB DETAILS

LOCATION

Seattle, WA

POSTED

27 days ago

Description The Amazon Publisher Monetization (APM) Prime Video Ads team sits at the intersection of premium video content and advertising innovation, developing differentiated advertising experiences that delight both advertisers and viewers. Prime Video has a unique combination of assets in our premium video content, wide customer reach, Amazon audience insights, and more, positioning us to become the lead publisher for Streaming TV ads globally. We are seeking a Principal Applied Scientist to evolves our advertising solutions, invent new advertiser and viewer experiences, and accelerate the pace of innovation across our rapidly growing business. This team develops systems that power Prime Video's advertising delivery and performance optimization. Our customers are global brand advertisers and agencies who leverage Prime Video's premium content to reach audiences in impactful ways. Given Prime Video's low ad load, we require extremely efficient ad delivery to maintain our premium positioning for advertisers while keeping viewers engaged. To be successful in this role you should be recognized as an industry expert who has experience defining a long-term science vision within the AdTech and video advertising domain, driven fundamentally from the needs of customers, translating that direction into specific plans for research scientists, applied scientists, engineering and product teams. This is a role that combines science leadership, organizational ability, technical expertise, product focus, and business understanding. You will thrive in a fast-paced startup-like environment, think big, move fast, and find ways to improve both advertiser and viewer experiences through ML innovation. If you are interested in making huge impact and shaping the future of Prime Video Advertising worldwide, come join us as we work hard, have fun, and make history. Key job responsibilities As a Principal Applied Scientist, you will: Own and drive the most complex and strategic solutions across Prime Video Advertising; responsible for innovations that impact billions in revenue across our global streaming TV business. Act as a thought leader and forward thinker in the streaming TV advertising space, anticipating obstacles to success, identifying new opportunities in video advertising ML, and helping avoid common failure modes as the industry rapidly evolves. Research, build, and deploy innovative machine learning solutions for video advertising challenges including forecasting, yield optimization, ad serving optimization, supply-demand management, and viewer experience optimization; working across all technical disciplines. Partner with science and engineering leaders across APM and Amazon Ads to identify and deliver innovative solutions that drive advertiser diversity, premium product innovation, and differentiated streaming TV experiences; define the vision and execute solutions that continually delight both advertisers and viewers. Hire, mentor, and guide senior scientists; partner with engineering leaders to build efficient and scalable solutions that operate 24x7x365 serving hundreds of millions of customers worldwide. Basic Qualifications - 5+ years of hands-on work in predictive modeling and analysis experience - PhD in Electrical Engineering, Computer Science, Mathematics, or a related technical field - Experience working in predictive modeling and analysis - Experience distilling informal customer requirements into problem definitions, dealing with ambiguity and competing objectives - Experience programming in Java, C++, Python or related language - Experience with leading experienced scientists as well as having a record of developing junior members from academia or industry to a career track in a business environment Preferred Qualifications - 10+ years of relevant work in industry or academia experience - Knowledge of problem solving, algorithm design and complexity analysis - Experience creating novel algorithms and advancing the state of the art - Have peer-reviewed scientific contributions in premier journals and conferences 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 - 198,900.00 - 269,000.00 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