Apple AR/VR Job | Multi-Modal LLM Research Engineer, Model Optimization and Algorithms Development
Job（岗位）: Multi-Modal LLM Research Engineer, Model Optimization and Algorithms Development
Citys（岗位城市）: Sunnyvale, California, United States
Date（发布日期）: 2025-2-25
Summary（岗位介绍）
The System Intelligence and Machine Learning (SIML) organization at Apple is looking for a Multi-Modal LLM Research Engineer to help shape the future of on-device Apple Intelligence. In this role, you will work at the intersection of large language models, neural network optimizations, and algorithm development, driving innovations that enhance real-world AI experiences for millions of users.
Qualifications（岗位要求）
Masters, or Ph.D. in Computer Science, or Computer Engineering; similarly related fields, or comparable professional experience.
Experience on developing/optimizing/training large language models (LLMs), or large computer vision models, or generative AI models.
Proven track record to drive scientific investigations and experiments and overcome obstacles and uncertainty in a research environment.
Excellent communication and collaboration skills, and have the ability to work hands-on in multi-functional teams.
Solid mathematical foundation of machine learning and deep learning techniques.
Strong programming skills in Python, solid understanding of C++.
Proficiency in at least one deep learning framework (e.g., PyTorch, Keras, TensorFlow, JAX).
Description（岗位职责）
As part of a collaborative team of deep learning experts and software engineers, you will explore the optimal trade-offs between model quality and efficiency, ensuring that innovative Multi-Modal LLMs can be seamlessly deployed on-device. You will translate the latest research into practical engineering solutions or innovate novel technologies, shaping key decisions on on-device model deployment and real-world performance. Working closely with various teams at Apple, you will help design Multi-Modal LLM architectures, refine training paradigms for real-world applications, and develop software optimized for emerging hardware architectures—potentially even influencing future hardware designs.
If you want to be part of a science- and results-driven team and are comfortable embracing new challenges in a fast-paced, iterative environment, we’d love to hear from you. Your research and development will directly shape the next generation of Apple Intelligence experiences!
Additional Requirements（额外要求）
Strong background in research and innovation, demonstrated through publications in top-tier journals or conferences, patents, or impactful industry experience.
Experience with network optimization algorithms, e.g. quantization and compression, sparsification, knowledge distillation, or neural architecture search.
Deep understanding of computer systems and the interactions between HW and SW.
