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Large Machine Learning Model Optimization Engineer
Apple
H1B ✓On-sitesenior levelPosted April 20, 2026
About the Role
You will be responsible for the on-device optimization and deployment of Apple Intelligence LLM and diffusion models. This role involves collaborating with cross-functional teams to implement model compression and distillation techniques to enhance performance.
Requirements
The role requires a minimum of 3 years of industry experience and strong software engineering skills in Python. Candidates should have experience in developing large-scale machine learning models and hardware-aware optimizations.
Full Job Description
Our team is an applied research and engineering team responsible for developing real-time on-device Language, Computer Vision, and Machine Perception technologies across Apple products. We focus on technology research and development to deliver Apple quality, state-of-the-art experiences. Our team prides itself on innovating through the full stack, and partnering with HW, SW and ML teams to influence the sensor and silicon roadmap that brings our vision to life.
We are directly responsible for the on-device optimization and deployment of the Apple Intelligence LLM and diffusion models.
As a Machine Learning Engineer, you will have the opportunity to be at the forefront of technological advancements and contribute to the successful shipping and delivery of Apple intelligence. You will be responsible for implementing and delivering various optimization techniques that improve the performance of large language and diffusion models on devices. Additionally, you will collaborate with a diverse range of organizations within Apple. Your innovations will significantly impact the entire ML model lifecycle of Apple intelligence.
We’re looking for strong Machine Learning software engineers/leaders to drive the development of the on-device Apple Intelligence LLM and diffusion model developments. This includes defining and leading the execution of model compression, distillation, and integrating to the full Apple Intelligence user experiences. We expect you to have strong, efficient ML model development experiences and a passion for shipping machine learning models on device. We also encourage publishing novel research at top ML conferences.
Software engineering skills in Python Experience in developing large computer vision and machine learning models, particularly on the hardware-aware model optimizations BS and a minimum of 3 years relevant industry experience
Familiar with model compression algorithms including quantization, pruning, distillations, and experience on optimizing large diffusion models or language models MS or PhD degree in Computer Science, or equivalent industry research experience Experience with hardware architecture, software & hardware co-design Leadership experience in driving large-scale projects in the industry Strong communication skills; phenomenal work ethic and collaboration ML compiler High performance kernel implementation Distributed inference
Description
We’re looking for strong Machine Learning software engineers/leaders to drive the development of the on-device Apple Intelligence LLM and diffusion model developments. This includes defining and leading the execution of model compression, distillation, and integrating to the full Apple Intelligence user experiences. We expect you to have strong, efficient ML model development experiences and a passion for shipping machine learning models on device. We also encourage publishing novel research at top ML conferences.
Minimum Qualifications
Software engineering skills in Python Experience in developing large computer vision and machine learning models, particularly on the hardware-aware model optimizations BS and a minimum of 3 years relevant industry experience
Preferred Qualifications
Familiar with model compression algorithms including quantization, pruning, distillations, and experience on optimizing large diffusion models or language models MS or PhD degree in Computer Science, or equivalent industry research experience Experience with hardware architecture, software & hardware co-design Leadership experience in driving large-scale projects in the industry Strong communication skills; phenomenal work ethic and collaboration ML compiler High performance kernel implementation Distributed inference