Applied Science Manager: Real-Time ML for Ad Personalization

Amazon Science; Seattle (WA); On-site; USD 184,000 - 249,000; Full time

Job summary

Amazon's Sponsored Products and Brands team seeks a leader to guide a group of scientists and engineers in building scalable ML and bandit-based solutions that personalize and optimize the ad experience in Amazon search.

You will own experimentation systems and online model serving, driving cross-functional collaboration and delivering real-time AI solutions at scale for advertisers and shoppers.

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.

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 LLM and ML 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 Advertising.

Skills

ML

NLP

Information Retrieval

Analytics

Management experience

Java

C++

Python

Education

PhD

Master's + 6 years applied research

Tools

Java

C++

Python

Job description

Amazon's Sponsored Products and Brands team seeks a leader to guide a group of scientists and engineers in building scalable ML and bandit-based solutions that personalize and optimize the ad experience in Amazon search.

You will own experimentation systems and online model serving, driving cross-functional collaboration and delivering real-time AI solutions at scale for advertisers and shoppers.