AIML - Machine Learning Researcher Engineer- MIND
Apple
Software Engineering
Seattle, WA, USA
Posted on Mar 13, 2025
Summary
Posted:
Weekly Hours: 40
Role Number:200578231
The Machine Intelligence, Neural Design (MIND) team is leading Apple-wide innovation on HW/SW co-design for efficient inference. We are looking for a highly motivated, result-oriented team player with strong background in ML/systems and hand-on experience in software development to join our team. 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.
Description
• 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
Minimum Qualifications
- 5+ years of research experience
- Expert in Python/PyTorch programming
- Quality publications in ML optimization (e.g., NeurIPS, ICML, ICLR, CVPR, ACL,
- etc).
- Excellent communication and writing skills
- MS/Ph.D. in CS/CE or related fields
Key Qualifications
Preferred Qualifications
- 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
- Experience with Jax programming
- Understanding ML accelerations and architectures
Education & Experience
Additional Requirements
Pay & Benefits
Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure 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.