ASM, Amazon

The Marketplace Intelligence (MI) team is looking for an Applied Science Manager to lead a team of scientists and engineers in building production ML and bandit solutions to customize the search experience.

We determine which ads to show in Amazon search, where to place them, how many ads to place, and to which customers. This helps shoppers discover new products while helping advertisers put their products in front of the right customers, aligning shoppers’, advertisers’, and Amazon’s interests.

To do this, we apply a broad range of machine learning, causal inference, and optimization techniques to continuously explore, learn, and optimize the allocation and ranking of ads on the search page.

We are an interdisciplinary team with a focus on customer obsession and inventing and simplifying. Our primary focus is on improving the SP experience in search by gaining a deep understanding of shopper pain points and developing new innovative solutions to address them.

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.

This is a unique opportunity for someone who wants to have broad business impact, a direct impact on customers and the search experience, build scaled real-time ML solutions, and lead a cross-functional team.

If you are interested in machine learning, bandit learning, building production systems, and leading a team to build these solutions, this role is for you.

We’re looking for a leader who can help lay out the vision for the team and grow with it.

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.

We are open to hiring candidates to work out of one of the following locations :

Seattle, WA, USA

BASIC QUALIFICATIONS

• 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

PREFERRED QUALIFICATIONS

• Experience building complex software systems, especially involving deep learning, machine learning and computer vision, that have been successfully delivered to customers
16 days ago