The Amazon Publisher Monetization Prime Video SVOD Ads team is looking for an experienced scientist to own science roadmap for differentiated video advertising products that will delight advertisers and viewers alike.
Video advertising is an increasingly complex, multi-sided market with many technologies and players. The industry is rapidly growing and evolving as viewers are shifting from traditional TV viewing to Streaming TV and publishers are increasingly adding video content to their online experiences. Prime Video has a unique combination of assets in our premium video content, wide customer reach, Amazon audience insights, and more, and thus is uniquely positioned to become the lead publisher for Streaming TV ads globally.
We are building the ML algorithms that optimize auction levers in the core auction, affecting which ads millions of daily Prime Video viewers see and how those ads are priced. This is a great time to join; we are still in early stages deploying the first generation of algorithms to drive yield and delight customers and advertisers.
As we continue building to out our team, we are looking for a Senior Applied Scientist to lead research, design, experiment and implementation of cutting edge algorithms for complex Prime Video publisher use cases. You will work collaboratively with software engineers, data engineers, and other scientists on the team to deploy production algorithms that support the billions of ad auctions run daily and set a high bar for science and engineering excellence. This is a rare opportunity to be a foundational member with huge potential for impact and innovating new user experiences at Amazon.
Despite being part of a large business, we embrace a start-up mentality. This is an opportunity for massive impact and a lot of autonomy.
Key job responsibilities
As a Principal Applied Scientist on this team, you will:
* Be the technical leader in Machine Learning; lead efforts within this team and across other teams.
* Perform hands-on analysis and modeling of enormous data sets to develop insights that increase traffic monetization, without compromising the viewer experience.
* Drive end-to-end Machine Learning projects that have a high degree of ambiguity, scale, complexity.
* Build machine learning models, perform proof-of-concept, experiment, optimize, and deploy your models into production; work closely with software engineers to assist in productionizing your ML models.
* Run A/B experiments, gather data, and perform statistical analysis.
* Establish scalable, efficient, automated processes for large-scale data analysis, machine-learning model development, model validation and serving.
* Research new and innovative machine learning approaches.
About the team
We recently led the high-profile launch of Prime Video's Ads offering in 2024, and are continuing to launch new products and features for our customers and partners world-wide, across our PV offering and Channel subscriptions.
We move fast, seek impact and don't forget to have fun on the way. Come help shape this new business for Prime Video and change the streaming advertising industry. MS or PhD in Computer Science, Statistics or related field
• 8+ years of applied ML experience in deploying ML solutions to customer facing products. Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
Experience with large scale distributed systems such as Hadoop, Spark etc.
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.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $179,000/year in our lowest geographic market up to $309,400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit
https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.
