Want to work in a start-up environment with the resources of Amazon behind you? Do you want to have direct and immediate impact on millions of customers every day? If you are a self-starter, passionate about machine learning, big data systems, enjoy designing and implementing new features and machine learned models, and intrigued by ambiguous problems, look no further.
Why you will love this opportunity: Amazon is investing heavily in building a world-class advertising business. Amazon Advertising operates at the intersection of eCommerce and advertising, offering a rich array of digital display, audio, video advertising solutions with the goal of helping our customers find and discover anything they want. We help advertisers reach Amazon customers on Amazon.com, across our other owned and operated sites, on other high quality sites across the web and on millions of devices (Kindles, Fire tablets, Fire TV, Alexa, Mobile, Twitch, and more). We start with the customer and work backwards in everything we do, including advertising.
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, and fun-loving team with an entrepreneurial spirit - with a broad mandate to experiment and innovate.
Key job responsibilities
As an Applied Scientist on this team, you will:
- Design, develop, and maintain scalable, Machine Learning models with automated training, validation, monitoring and reporting.
- Work closely with other scientists and engineers to architect and develop new learning algorithms and prediction techniques
- Collaborate with product managers and engineering teams to design and implement software solutions for Amazon problem
- Provide technical and scientific guidance to junior team members
- Contribute to the research community, by working with other scientists across Amazon
- Publish papers at peer reviewed journals and conferences
A day in the life
This role combines science leadership, organizational ability, technical strength, product focus, and business understanding.
You'll be a lead scientist on the team tackling some of the hardest problems in mobile advertising; recommending the right app for users to download and the right offer for the users to avail off in mobile apps on their devices. This is especially challenging when accommodating the user's privacy preferences.
You will define a long-term science vision for our app advertising business, driven from our customers' needs, translating that direction into specific plans for research and applied scientists, as well as engineering and product teams.
About the team
App Advertising enables app developers/advertisers to leverage Amazon Ads for promoting their apps and drive user engagement. To do this, we are developing tools and integrations across the Amazon Ads stack. We are a hybrid science and engineering team based in Seattle, Palo Alto and New York.
This is a revenue generating program that spans across multiple teams/organizations providing you the opportunity to impact a growing business and potentially even the mobile app advertising industry.
