LLM Research Engineer: Model Optimization and Algorithms Development

The Science Model Optimization and Algorithms Development team brings innovative AI research into Apple products.

Description

We are looking for strong ML applied scientists and engineers to build server-based and on-device large machine learning capabilities tailored for Apple Silicon. We are part of a collaborative group of software developers and deep learning experts working in the area of neural network optimization and related algorithms. Successful candidates will have a strong software engineering background, zero-to-one machine learning development experience, and broad expertise in machine learning model optimization (quality optimization, performance optimization, etc).

Minimum Qualifications

Experience on developing/optimizing/training large language models (LLMs), or large computer vision models, or generative AI models Software engineering skills in Python and general purpose system admin and infrastructure management abilities History of applied research in neural network model optimization or training or a related area application Proven track record to drive scientific investigations and experiments and overcome obstacles and uncertainty in a research environment MS degree and 3+ years of proven experience

Preferred Qualifications

Publication record at top AI/ML venues Experience with network optimization algorithms, e.g. quantization and compression, sparsification, knowledge distillation, or NAS Experience with languages such as C/C++, Java, Go, Swift, Rust, or Obj-C Infrastructure management and debugging experience Experimental rigor when training/evaluating DNNs for the purpose of benchmarking neural network optimization algorithms Strong communication and accountability skills; hard-working, strong work ethic, and collaboration abilities PHD in related field

Eeo Content

Apple 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.