AIML - Machine Intelligence - Machine Learning Researcher- MIND

14 Minutes ago • All levels • $171,600 PA - $258,100 PA
Research Development

Job Description

The Machine Intelligence, Neural Design (MIND) team at Apple is seeking a highly motivated Machine Learning Researcher to innovate in HW/SW co-design for efficient inference. This role focuses on optimizing mobile-cloud hybrid inference for multi-modal large language models (LLMs), emphasizing systems-level innovation and ML co-design. The mission is to advance state-of-the-art ML optimization techniques for efficient inference, requiring a researcher and engineer to push boundaries and materialize ideas to impact Apple partners and research communities.
Good To Have:
  • 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
Must Have:
  • 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
  • Expert in Python/PyTorch programming
  • Quality publications in System optimization (e.g., MICRO, ASPOLOS, OSDI, NSDI, MobiSys etc).
  • Quality publications in ML optimization (e.g., NeurIPS, ICML, ICLR, CVPR, ACL, etc).
  • Excellent communication and writing skills
  • Ph.D. in CS/CE or related fields
Perks:
  • Opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs
  • Eligible for discretionary restricted stock unit awards
  • Can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan
  • Comprehensive medical and dental coverage
  • Retirement benefits
  • A range of discounted products and free services
  • Reimbursement for certain educational expenses — including tuition, for formal education related to advancing your career at Apple
  • Eligible for discretionary bonuses or commission payments
  • Relocation

Add these skills to join the top 1% applicants for this job

communication
team-player
game-texts
pytorch
python
machine-learning

The Machine Intelligence, Neural Design (MIND) team is leading 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 partners and research communities.

  • 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

The ideal candidate will have the following qualifications:

  • Expert in Python/PyTorch programming
  • Quality publications in System optimization (e.g., MICRO, ASPOLOS, OSDI, NSDI, MobiSys etc).
  • Quality publications in ML optimization (e.g., NeurIPS, ICML, ICLR, CVPR, ACL, etc).
  • Excellent communication and writing skills
  • Ph.D. in CS/CE or related fields

Additional 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

Base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $171,600 and $258,100, and your base pay will depend on your skills, qualifications, experience, and location.

Employees also have the opportunity to become a shareholder through participation in discretionary employee stock programs. Employees are eligible for discretionary restricted stock unit awards, and can purchase stock at a discount if voluntarily participating in the Employee Stock Purchase Plan. You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Benefits.

Note: Benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

Is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant.

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