About The Position

Apple's On-Device Query Understanding team is building the next generation of personalized, intelligent search. You will research and develop novel approaches in query understanding and machine learning modeling creating the technology that enables seamless search and assistant experiences across Apple products. This is a role for someone passionate about applying machine learning and generative AI to meaningful, large-scale challenges, where your work will directly shape how millions of people interact with Apple products every day. The On-Device Query Understanding team builds personalized, state-of-the-art query understanding models that power search intelligence across Spotlight and first-party apps like Mail, Photos, and Reminders. You will drive scalable evaluations and modeling improvements that directly impact millions of Apple users while contributing to the broader machine learning community. In this role, you will bring together research and engineering excellence to advance how Apple understands what people are looking for, and why.

Requirements

  • 4 or more years of experience in machine learning, natural language processing, or computer vision, applied at scale
  • Software engineering experience with Python, Go, or C/C++
  • Communication and collaboration skills
  • Bachelor's degree in Computer Science, Computer Engineering, Statistics, Physics, Mathematics, or a related field

Nice To Haves

  • Advanced degree (Master's or Ph.D.) in Computer Science, Statistics, or a related field, or equivalent industry experience
  • Experience in large-scale query understanding, search, recommendation, or personal assistant systems
  • Proficiency with machine learning frameworks such as PyTorch, JAX, TensorFlow, or XGBoost
  • Background in personalization and data-driven decision making, with the ability to prototype solutions and conduct critical analysis
  • Experience with Swift or iOS development

Responsibilities

  • Research and develop novel approaches in query understanding and machine learning modeling.
  • Create technology that enables seamless search and assistant experiences across Apple products.
  • Apply machine learning and generative AI to meaningful, large-scale challenges.
  • Drive scalable evaluations and modeling improvements.
  • Contribute to the broader machine learning community.
  • Advance how Apple understands what people are looking for, and why.
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