Were looking for strong ML 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
Were looking for strong ML 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....
Were looking for strong ML 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
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