AIML - Machine Intelligence - Machine Learning Researcher- MIND
Apple
AIML - Machine Intelligence - Machine Learning Researcher- MIND
Job Description
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. • 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
Locations
- Seattle, Washington, United States 98117
Salary
Estimated Salary Rangemedium confidence
40,000,000 - 80,000,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- machine learningintermediate
- systemsintermediate
- software developmentintermediate
- optimizing mobile-cloud hybrid inferenceintermediate
- multi-modal large language modelsintermediate
- systems-level innovationintermediate
- ML co-designintermediate
- ML optimization techniquesintermediate
- efficient inferenceintermediate
- out-of-box thinkingintermediate
- researchintermediate
- engineeringintermediate
Required Qualifications
- Expert in Python/PyTorch programming (experience)
- Quality publications in System optimization (e.g., MICRO, ASPOLOS, OSDI, NSDI, MobiSys etc). (experience)
- Quality publications in ML optimization (e.g., NeurIPS, ICML, ICLR, CVPR, ACL, etc). (experience)
- Excellent communication and writing skills (experience)
- Ph.D. in CS/CE or related fields (experience)
Preferred Qualifications
- Experience with Large-scale model training/tuning (experience)
- Experience with processing multiple modalities (i.e., audio/vision) with Foundational Models. (experience)
- Experience with backend compilation, HW/SW co-design, and/or performance optimization (experience)
- Understanding ML accelerations and architectures (experience)
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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AIML - Machine Intelligence - Machine Learning Researcher- MIND
Apple
AIML - Machine Intelligence - Machine Learning Researcher- MIND
Job Description
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. • 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
Locations
- Seattle, Washington, United States 98117
Salary
Estimated Salary Rangemedium confidence
40,000,000 - 80,000,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- machine learningintermediate
- systemsintermediate
- software developmentintermediate
- optimizing mobile-cloud hybrid inferenceintermediate
- multi-modal large language modelsintermediate
- systems-level innovationintermediate
- ML co-designintermediate
- ML optimization techniquesintermediate
- efficient inferenceintermediate
- out-of-box thinkingintermediate
- researchintermediate
- engineeringintermediate
Required Qualifications
- Expert in Python/PyTorch programming (experience)
- Quality publications in System optimization (e.g., MICRO, ASPOLOS, OSDI, NSDI, MobiSys etc). (experience)
- Quality publications in ML optimization (e.g., NeurIPS, ICML, ICLR, CVPR, ACL, etc). (experience)
- Excellent communication and writing skills (experience)
- Ph.D. in CS/CE or related fields (experience)
Preferred Qualifications
- Experience with Large-scale model training/tuning (experience)
- Experience with processing multiple modalities (i.e., audio/vision) with Foundational Models. (experience)
- Experience with backend compilation, HW/SW co-design, and/or performance optimization (experience)
- Understanding ML accelerations and architectures (experience)
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
Tags & Categories
Answer 10 quick questions to check your fit for AIML - Machine Intelligence - Machine Learning Researcher- MIND @ Apple.
10 Questions
~2 Minutes
Instant Score
Related Books and Jobs