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• Senior Product Data Scientist, Media Services

  Machine Learning and AI03. sep. 2026

  LocationCulver City

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  • ShareSenior Product Data Scientist, Media Services 200681003-0670

  • Role Number:  200681003-0670
  • Weekly Hours: 40 Hours

  Services at Apple help hundreds of millions of customers get the most out of the devices they love through amazing apps, award-winning shows and movies, immersive music in spatial audio, world-class workouts and meditations, super fun games and more! The Services Product Data Science & Analytics organization is passionate about developing discerning insights and machine learning solutions to help continually improve these services and accelerate growth while maintaining a strong dedication to customer privacy.

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• Senior Product Data Scientist, Media Services

  Machine Learning and AI03. sep. 2026

  LocationCupertino

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  • ShareSenior Product Data Scientist, Media Services 200681003-0836

  • Role Number:  200681003-0836
  • Weekly Hours: 40 Hours

  Services at Apple help hundreds of millions of customers get the most out of the devices they love through amazing apps, award-winning shows and movies, immersive music in spatial audio, world-class workouts and meditations, super fun games and more! The Services Product Data Science & Analytics organization is passionate about developing discerning insights and machine learning solutions to help continually improve these services and accelerate growth while maintaining a strong dedication to customer privacy.

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• Machine Learning Manager, Data for Foundation Models - SIML

  Machine Learning and AI03. sep. 2026

  LocationCupertino

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  • ShareMachine Learning Manager, Data for Foundation Models - SIML 200667330-0836

  • Role Number:  200667330-0836
  • Weekly Hours: 40 Hours

  Do you believe that generative models can fundamentally change how people interact with devices? Are you excited by the possibility of connecting people to unprecedented levels of creativity? Come join the team that turned cutting edge Generative AI research into compelling user experiences through Apple Intelligence. We are part of the Intelligent System Experiences team at Apple and work on the core modeling technology behind Genmoji, Image Playground and Image Wand. From web-scale datasets to distributed training of foundation models, application specific adapters to on-device optimiza...

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• Full Stack Software Engineer - ML Compute Capacity

  Machine Learning and AI03. sep. 2026

  LocationSanta Clara

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  • ShareFull Stack Software Engineer - ML Compute Capacity 200681765-3760

  • Role Number:  200681765-3760
  • Weekly Hours: 40 Hours

  Scaling machine learning workloads across thousands of accelerators creates challenges that few engineers ever encounter. In Apple’s Machine Learning Platform Technologies organization, we build the infrastructure that powers large-scale ML training and inference workloads, bringing together expertise in distributed systems, machine learning infrastructure, and high-performance computing.

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• Machine Learning Systems Engineer – Video Computer Vision

  Machine Learning and AI03. sep. 2026

  LocationSunnyvale

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  • ShareMachine Learning Systems Engineer – Video Computer Vision 200681077-3956

  • Role Number:  200681077-3956
  • Weekly Hours: 40 Hours

  The incredible potential of multimodal foundation models and large language models has unlocked machine learning applications that were previously thought infeasible. The Video Computer Vision (VCV) group is looking for a highly motivated and skilled Machine Learning Systems Engineer to help us ship cutting-edge computer vision technology on Apple devices. The VCV organization has pioneered groundbreaking features like FaceID/FaceKit, Gaze/Hand Gesture Control, Body Tracking, and 2D/3D Scene Understanding fundamentally changing how millions of users interact with technology. We seamlessl...

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• AIML - Machine Learning Researcher, Foundation Models

  Machine Learning and AI03. sep. 2026

  LocationCupertino

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  • ShareAIML - Machine Learning Researcher, Foundation Models 200680453-0836

  • Role Number:  200680453-0836
  • Weekly Hours: 40 Hours

  We are a group of engineers and researchers responsible for building foundation models at Apple. We build infrastructure, datasets, and models with fundamental general capabilities such as understanding and generation of text, images, speech, videos, and other modalities and apply these models to Apple products. We are looking for researchers who are passionate about developing algorithms, techniques, and systems that push the frontier of deep learning and delight millions of users with Apple products powered by foundation models. We are looking for engineers who are passionate about build...

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• AIML - Machine Learning Researcher, Foundation Models

  Machine Learning and AI03. sep. 2026

  LocationCupertino

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  • ShareAIML - Machine Learning Researcher, Foundation Models 200667299-0836

  • Role Number:  200667299-0836
  • Weekly Hours: 40 Hours

  We are a group of engineers and researchers responsible for building foundation models at Apple. We build infrastructure, datasets, and models with fundamental general capabilities such as understanding and generation of text, images, speech, videos, and other modalities and apply these models to Apple products. We are looking for researchers who are passionate about developing algorithms, techniques, and systems that push the frontier of deep learning and delight millions of users with Apple products powered by foundation models.

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• On-device ML Infrastructure Engineer (Orchestration & Performance)

  Machine Learning and AI02. sep. 2026

  LocationCupertino

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  • ShareOn-device ML Infrastructure Engineer (Orchestration & Performance) 200680834-0836

  • Role Number:  200680834-0836
  • Weekly Hours: 40 Hours

  Imagine being at the forefront of an evolution where cutting-edge AI meets the elegance of Apple silicon. The On-Device Machine Learning team transforms groundbreaking research into practical applications, enabling billions of Apple devices to run powerful AI models locally, privately, and efficiently. We stand at the unique intersection of research, software engineering, hardware engineering, and product development, making Apple the leading destination for machine learning innovation. Our team builds the essential infrastructure that enables machine learning at scale on Apple devices. Th...

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• On-Device ML Compiler Engineer, Model Compilation, Graphics, Games and Machine Learning

  Machine Learning and AI02. sep. 2026

  LocationCupertino

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  • ShareOn-Device ML Compiler Engineer, Model Compilation, Graphics, Games and Machine Learning 200631247-0836

  • Role Number:  200631247-0836
  • Weekly Hours: 40 Hours

  Imagine being at the forefront of an evolution where innovative AI meets the elegance of Apple silicon. The On-Device Machine Learning team transforms groundbreaking research into practical applications, enabling billions of Apple devices to run powerful AI models locally, privately, and efficiently. We stand at the unique intersection of research, software engineering, hardware engineering, and product development, making Apple the leading destination for machine learning innovation. Our team builds the essential infrastructure that enables machine learning at scale on Apple devices. This...

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• On-Device ML Compiler Engineer, Model Compilation, Graphics, Games and Machine Learning

  Machine Learning and AI02. sep. 2026

  LocationCupertino

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  • ShareOn-Device ML Compiler Engineer, Model Compilation, Graphics, Games and Machine Learning 200658150-0836

  • Role Number:  200658150-0836
  • Weekly Hours: 40 Hours

  Imagine being at the forefront of an evolution where innovative AI meets the elegance of Apple silicon. The On-Device Machine Learning team transforms groundbreaking research into practical applications, enabling billions of Apple devices to run powerful AI models locally, privately, and efficiently. We stand at the unique intersection of research, software engineering, hardware engineering, and product development, making Apple the leading destination for machine learning innovation. Our team builds the essential infrastructure that enables machine learning at scale on Apple devices. Th...

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• Lead iCloud Insights Engineer, Services Data Science & Analytics

  Machine Learning and AI01. sep. 2026

  LocationAustin

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  • ShareLead iCloud Insights Engineer, Services Data Science & Analytics 200681257-0157

  • Role Number:  200681257-0157
  • Weekly Hours: 40 Hours

  Are you ready to make a significant impact in Apple Services? At Apple, new ideas have a way of becoming phenomenal products, services, and customer experiences very quickly — and if you are passionate about telling compelling data stories with creative and insightful visualizations, we would love for you to apply. The Apple Services Data Science & Analytics team drives decisions that improve the customer experience, accelerate growth, and uncover new business opportunities while respecting user privacy. We work on some of the largest e-commerce and media streaming businesses in the world, ...

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• Lead iCloud Insights Engineer, Services Data Science & Analytics

  Machine Learning and AI01. sep. 2026

  LocationCulver City

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  • ShareLead iCloud Insights Engineer, Services Data Science & Analytics 200681257-0670

  • Role Number:  200681257-0670
  • Weekly Hours: 40 Hours

  Are you ready to make a significant impact in Apple Services? At Apple, new ideas have a way of becoming phenomenal products, services, and customer experiences very quickly — and if you are passionate about telling compelling data stories with creative and insightful visualizations, we would love for you to apply. The Apple Services Data Science & Analytics team drives decisions that improve the customer experience, accelerate growth, and uncover new business opportunities while respecting user privacy. We work on some of the largest e-commerce and media streaming businesses in the world, ...

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• Lead iCloud Insights Engineer, Services Data Science & Analytics

  Machine Learning and AI01. sep. 2026

  LocationCupertino

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  • ShareLead iCloud Insights Engineer, Services Data Science & Analytics 200681257-0836

  • Role Number:  200681257-0836
  • Weekly Hours: 40 Hours

  Are you ready to make a significant impact in Apple Services? At Apple, new ideas have a way of becoming phenomenal products, services, and customer experiences very quickly — and if you are passionate about telling compelling data stories with creative and insightful visualizations, we would love for you to apply. The Apple Services Data Science & Analytics team drives decisions that improve the customer experience, accelerate growth, and uncover new business opportunities while respecting user privacy. We work on some of the largest e-commerce and media streaming businesses in the world, ...

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• Full Stack Engineer, Graphics, Games, and ML

  Machine Learning and AI01. sep. 2026

  LocationCupertino

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  • ShareFull Stack Engineer, Graphics, Games, and ML 200680950-0836

  • Role Number:  200680950-0836
  • Weekly Hours: 40 Hours

  Make Apple's best developers even better. Partner cross-functionally with the Graphics, Gaming and Machine Learning macOS and iOS engineering teams to streamline workflows, eliminate bottlenecks, and multiply the impact of those building the operating systems that power innovation globally.

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• Machine Learning Systems Engineer – Video Computer Vision

  Machine Learning and AI01. sep. 2026

  LocationSunnyvale

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  • See full role description
  • ShareMachine Learning Systems Engineer – Video Computer Vision 200681055-3956

  • Role Number:  200681055-3956
  • Weekly Hours: 40 Hours

  The incredible potential of multimodal foundation models and large language models has unlocked machine learning applications that were previously thought infeasible. The Video Computer Vision (VCV) group is looking for a highly motivated and skilled Machine Learning Systems Engineer to help us ship cutting-edge computer vision technology on Apple devices. The VCV organization has pioneered groundbreaking features like FaceID/FaceKit, Gaze/Hand Gesture Control, Body Tracking, and 2D/3D Scene Understanding fundamentally changing how millions of users interact with technology. We seamlessly ...

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• AIML - Sr Machine Learning Research Scientist, Data and ML Innovation

  Machine Learning and AI31. aug. 2026

  LocationSeattle

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  • ShareAIML - Sr Machine Learning Research Scientist, Data and ML Innovation 200668189-3337

  • Role Number:  200668189-3337
  • Weekly Hours: 40 Hours

  Would you like to join a team curious about understanding how foundation models work and to expand their capabilities in scientific domains? We perform and publish novel research and apply our findings to drive product directions. If you like designing clever approaches to understanding complex phenomena and using that knowledge to solve practical problems then this is the position for you.

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• Perception Algorithm Engineer

  Machine Learning and AI31. aug. 2026

  LocationCupertino

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  • SharePerception Algorithm Engineer 200681047-0836

  • Role Number:  200681047-0836
  • Weekly Hours: 40 Hours

  Apple is where individual imaginations gather together, committing to the values that lead to great work. Every new product we build, service we create, or Apple Store experience we deliver is the result of us making each other’s ideas stronger. That happens because every one of us shares a belief that we can make something wonderful and share it with the world, changing lives for the better. It’s the diversity of our people and their thinking that inspires the innovation that runs through everything we do. When we bring everybody in, we can do the best work of our lives. Here, you’ll do...

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• AIML - Staff ML Infrastructure Engineer, ML Platform & Technology - Pre-training Infrastructure

  Machine Learning and AI31. aug. 2026

  LocationVarious locations within San Francisco Bay Area

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  • ShareAIML - Staff ML Infrastructure Engineer, ML Platform & Technology - Pre-training Infrastructure 200680978-3401

  • Role Number:  200680978-3401
  • Weekly Hours: 40 Hours

  Apple is where individual imaginations gather together, committing to the values that lead to great work. Every new product we build, service we create, or Apple Store experience we deliver is the result of us making each other’s ideas stronger. That happens because every one of us shares a belief that we can make something wonderful and share it with the world, changing lives for the better. It’s the diversity of our people and their thinking that inspires the innovation that runs through everything we do. When we bring everybody in, we can do the best work of our lives. Here, you’ll do mo...

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• Senior ML Platform Engineer - Agentic Systems - Special Projects

  Machine Learning and AI31. aug. 2026

  LocationCupertino

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  • ShareSenior ML Platform Engineer - Agentic Systems - Special Projects 200651030-0836

  • Role Number:  200651030-0836
  • Weekly Hours: 40 Hours

  Apple is where individual imaginations gather together, committing to the values that lead to great work. Every new product we build, service we create, or Apple Store experience we deliver is the result of us making each other’s ideas stronger. That happens because every one of us shares a belief that we can make something wonderful and share it with the world, changing lives for the better. It’s the diversity of our people and their thinking that inspires the innovation that runs through everything we do. When we bring everybody in, we can do the best work of our lives. Here, you’ll do mo...

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• AIML - Machine Learning Researcher, Foundation Models

  Machine Learning and AI31. aug. 2026

  LocationCupertino

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  • ShareAIML - Machine Learning Researcher, Foundation Models 200641998-0836

  • Role Number:  200641998-0836
  • Weekly Hours: 40 Hours

  We build frontier foundation models that power intelligent experiences at Apple. Our team works across the full training lifecycle: including pre-training foundation models, and developing mid-training approaches that bridge general capability and task-specific performance. What makes our work distinct is that we're engineering models specifically for Apple silicon and optimized for experiences that are private, personal, and deeply integrated into the OS. We're solving frontier problems in reward modeling to resist reward hacking, handling sparse and delayed rewards in agentic settings, an...

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