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Job Opening

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Sr Applied Scientist, FAIM (Full Funnel Agentic Intelligence and Models)

Amazon · New York, NY · Posted 9 days ago

$167k–$249kic
6+ yrs expMachine LearningAgentic AIEvaluationPythonJavaC++Rscikit-learn

Build the evaluation science foundation for Ads Agent from the ground up, deciding when new agentic features are ready to launch across a full-funnel ads product at internet scale.

Are you passionate about solving big problems from ground-up? Do you enjoy building new state-of-the-art products at internet scale? Come lead the innovation in this startup team, vertical ad products. This is a green field problem without a known answer or a pattern to follow.

We have ambitious vision to simplify full funnel advertising solutions, at scale, with specialized agentic AI-powered models and diversify the demand to strategic verticals including finserv, autos, locals.. etc.

We are seeking an experienced Applied Scientist to drive innovation in our Ads Foundational Model. In this individual contributor role, you will apply advanced machine learning techniques to improve advertiser performance and customer experience.

Key job responsibilities

  • Drive the science vision for developing evaluations of the Ads Agent
  • Partner with senior and principal scientists from across Ads to develop best practices for evaluating agent performance both online and offline
  • Raise the science bar for all agent evaluations developed in Ads.
  • Deliver a data driven foundation for making decisions about when new features are ready to launch in Ads Agent.
  • PhD, or Master's degree and 6+ years of applied research experience
  • Experience programming in Java, C++, Python or related language
  • 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.

…

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There are 17,473 open roles at Amazon right now. This role is one of 75 Research Scientist openings in New York, NY and centers on Python, Java, C++, and Machine Learning.

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