Role overview

Senior Machine Learning Engineer, AI Personalization

Requirements and responsibilities

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You Will

  • Lead strategic initiatives in AI Personalization, driving the vision, architecture, and execution
  • Develop and deploy new AI/ML models that power search & recommendations in traditional UX as well as new agentic interfaces
  • Deploy to production at scale to personalize every user’s experience
  • Be a technical leader and establish quality practices that stick, make broader design decisions and set an example for others to follow
  • Collaborate with a cross functional team of designers, business partners, and software engineers to build new technologies and features
  • Design experiments, test them on production users, analyze and repeat

You Have

  • 10+ years building and operating quality software
  • Domain expertise in recommender systems, ranking systems, or similar with 5+ years of experience
  • Led the development of complex models trained on large datasets powering customer facing features
  • Strong software engineering skills
  • Strong communication skills and customer empathy
  • Experience with PyTorch, PySpark, Databricks and AWS is a plus
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Browse stack
Focus10409 Engineering - AIDARole area
Seniority signalSeniorCandidate level
StackAWSPrimary skills
Location27 accepted countriesEligibility

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