Applied Science Manager: Real-Time ML for Ad Personalization
Posted yesterday
amazon scienceSeattle (WA)
Natural Sciences ManagersAll Other Professional, Scientific, and Technical Services
SENIORITY
Mid
About the role
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.
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Before you apply
Applying takes about a minute. These four things decide how fast it moves after that.
Your profile is current
It's what we read first. Occupations, seniority and locations matter more than a long history.
Two examples you can talk through
Not a portfolio — just two pieces of work where you can explain the decisions and what you'd change.
A number in mind
What you're on now and what would make you move. We negotiate better when we know both.
Your notice period
Employers plan around it, and it's the question that stalls offers most often.
Once you apply, someone reads it and calls you before anything reaches the employer — usually within two working days.
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