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.
Description
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.
Minimum Qualifications
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
Preferred Qualifications
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
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
- Dice Id: 90733111
- Position Id: 3ad521ed9b13ed30068d4bb133791d0b
- Posted 23 hours ago
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