About The Position

The Machine Intelligence, Neural Design (MIND) team is leading Apple-wide innovation on HW/SW co-design for efficient inference. We are seeking a highly motivated, results-driven team player with a strong background in machine learning and systems, along with hands-on software development experience. The role focuses on optimizing mobile-cloud hybrid inference for multi-modal large language models (LLMs), with emphasis on both systems-level innovation and ML co-design. Our mission is to advance the state-of-art in ML optimization techniques for efficient inference. Thus, the ideal candidate for this position is a researcher and engineer who will relentlessly push the existing boundary with out-of-box thinking, and materialize the idea with the very details to impact both Apple partners and research communities.

Requirements

  • Experience with Large-scale model training/tuning
  • Experience with processing multiple modalities (i.e., audio/vision) with Foundational Models
  • Experience with backend compilation, HW/SW co-design, and/or performance optimization
  • Understanding ML accelerations and architectures

Responsibilities

  • Research and develop ML optimization techniques for efficient on-device ML
  • Materialize the ideas/concepts and demonstrate the practical value in an industrial environment
  • Work with HW/SW teams to productize the outcome of the work

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What This Job Offers

Industry

Computer and Electronic Product Manufacturing

Number of Employees

5,001-10,000 employees

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