Amazon Amazon 

United States, Washington, Seattle 

956722538

You’ll lead the MI Interleaving team. The Interleaving team’s mission is to personalize and contextualize SP ad allocation on the search page. We do this by modeling shopper responses to the number, placement, and quality of ads. We use online experimentation, simulation, causal modeling, and online feedback to estimate the cost of displacing organic and sponsored content. Then, we incorporate those estimates into ad allocation to deliver an efficient and customized shopping experience for shoppers and improved discoverability and sales for advertisers. You’ll own the experimentation systems, models, and online model serving infrastructure to support these solutions.
Key job responsibilities
* Lead a team of scientists and engineers in building scalable machine learning solutions.
* Develop a vision for contextualizing and personalizing SP ads in Amazon search.
* Create, develop, and drive a data-driven product strategy to define the right quantitative measures of shopper impact, using this to evaluate decisions and opportunities.
* Tackle and solve challenging science and business problems that balance the interests of advertisers, shoppers, and Amazon.
* Own a portfolio of pragmatic long-term investments that drive long-term growth of the ads and retail businesses.
* Develop real-time machine learning algorithms to allocate billions of ads per day in advertising auctions.
* Develop efficient algorithms for multi-objective optimization and AI control methods to find operating points for the ad marketplace then evolve them
* Develop scientists and ML engineers around machine learning, economics, and optimization for WW Advertising.Seattle, WA, USA

- 4+ years of applied research experience
- 3+ years of scientists or machine learning engineers management experience
- 3+ years of building machine learning models for business application experience
- PhD, or Master's degree and 6+ years of applied research experience
- Knowledge of ML, NLP, Information Retrieval and Analytics
- Experience programming in Java, C++, Python or related language