Large Machine Learning Model Optimization Engineer
Apple
Large Machine Learning Model Optimization Engineer
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 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.
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
- developing real-time on-device Language technologiesintermediate
- developing real-time on-device Computer Vision technologiesintermediate
- developing real-time on-device Machine Perception technologiesintermediate
- technology research and developmentintermediate
- innovating through the full stackintermediate
- partnering with HW teamsintermediate
- partnering with SW teamsintermediate
- partnering with ML teamsintermediate
- influencing sensor and silicon roadmapintermediate
- on-device optimizationintermediate
- deployment of Apple Intelligence LLMintermediate
- deployment of diffusion modelsintermediate
- implementing optimization techniquesintermediate
- improving performance of large language modelsintermediate
- improving performance of diffusion modelsintermediate
- collaborating with diverse organizationsintermediate
- impacting ML model lifecycleintermediate
- model compressionintermediate
- model distillationintermediate
- integrating to Apple Intelligence user experiencesintermediate
- efficient ML model developmentintermediate
- shipping machine learning models on deviceintermediate
- publishing novel research at top ML conferencesintermediate
Required Qualifications
- Software engineering skills in Python (experience)
- Experience in developing large computer vision and machine learning models, particularly on the hardware-aware model optimizations (experience)
- BS and a minimum of 3 years relevant industry experience (experience, 3 years)
Preferred Qualifications
- Familiar with model compression algorithms including quantization, pruning, distillations, and experience on optimizing large diffusion models or language models (experience)
- MS or PhD degree in Computer Science, or equivalent industry research experience (experience)
- Experience with hardware architecture, software & hardware co-design (experience)
- Leadership experience in driving large-scale projects in the industry (experience)
- Strong communication skills; phenomenal work ethic and collaboration (experience)
Responsibilities
- We’re 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.
Tags & Categories
Answer 10 quick questions to check your fit for Large Machine Learning Model Optimization Engineer @ Apple.
10 Questions
~2 Minutes
Instant Score
Related Books and Jobs
Large Machine Learning Model Optimization Engineer
Apple
Large Machine Learning Model Optimization Engineer
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 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.
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
- developing real-time on-device Language technologiesintermediate
- developing real-time on-device Computer Vision technologiesintermediate
- developing real-time on-device Machine Perception technologiesintermediate
- technology research and developmentintermediate
- innovating through the full stackintermediate
- partnering with HW teamsintermediate
- partnering with SW teamsintermediate
- partnering with ML teamsintermediate
- influencing sensor and silicon roadmapintermediate
- on-device optimizationintermediate
- deployment of Apple Intelligence LLMintermediate
- deployment of diffusion modelsintermediate
- implementing optimization techniquesintermediate
- improving performance of large language modelsintermediate
- improving performance of diffusion modelsintermediate
- collaborating with diverse organizationsintermediate
- impacting ML model lifecycleintermediate
- model compressionintermediate
- model distillationintermediate
- integrating to Apple Intelligence user experiencesintermediate
- efficient ML model developmentintermediate
- shipping machine learning models on deviceintermediate
- publishing novel research at top ML conferencesintermediate
Required Qualifications
- Software engineering skills in Python (experience)
- Experience in developing large computer vision and machine learning models, particularly on the hardware-aware model optimizations (experience)
- BS and a minimum of 3 years relevant industry experience (experience, 3 years)
Preferred Qualifications
- Familiar with model compression algorithms including quantization, pruning, distillations, and experience on optimizing large diffusion models or language models (experience)
- MS or PhD degree in Computer Science, or equivalent industry research experience (experience)
- Experience with hardware architecture, software & hardware co-design (experience)
- Leadership experience in driving large-scale projects in the industry (experience)
- Strong communication skills; phenomenal work ethic and collaboration (experience)
Responsibilities
- We’re 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.
Tags & Categories
Answer 10 quick questions to check your fit for Large Machine Learning Model Optimization Engineer @ Apple.
10 Questions
~2 Minutes
Instant Score
Related Books and Jobs