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• Senior Systems Engineer - Special Projects

  Machine Learning und AI04. Sept. 2026

  StandortCupertino

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  • TeilenSenior Systems Engineer - Special Projects 200681868-0836

  • Stellennummer:  200681868-0836
  • Wochenstunden: 40 Stunden

  Apple is where individual imaginations gather together to do 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. We’d love to work with you.

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• Machine Learning Researcher Multi-Modal Reasoning

  Machine Learning und AI04. Sept. 2026

  StandortCupertino

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  • TeilenMachine Learning Researcher Multi-Modal Reasoning 200682033-0836

  • Stellennummer:  200682033-0836
  • Wochenstunden: 40 Stunden

  Do you believe generative models can transform creative workflows and smart assistants used by billions? Do you believe it can fundamentally shift how people interact with devices and communicate, personalizing and tailoring experiences to their unique needs? SIML’s Content Understanding teams strives to turn cutting edge research into compelling user experiences that realize all these goals and more, working on Apple Intelligence technologies such as Image Playground, Genmoji, Generative Memories, Semantic Search, and many more. You will be working alonside teams that are in charge of o...

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• Machine Learning Researcher Multi-Modal Reasoning

  Machine Learning und AI04. Sept. 2026

  StandortSeattle

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  • TeilenMachine Learning Researcher Multi-Modal Reasoning 200682033-3337

  • Stellennummer:  200682033-3337
  • Wochenstunden: 40 Stunden

  Do you believe generative models can transform creative workflows and smart assistants used by billions? Do you believe it can fundamentally shift how people interact with devices and communicate, personalizing and tailoring experiences to their unique needs? SIML’s Content Understanding teams strives to turn cutting edge research into compelling user experiences that realize all these goals and more, working on Apple Intelligence technologies such as Image Playground, Genmoji, Generative Memories, Semantic Search, and many more. You will be working alonside teams that are in charge of o...

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• Senior Product Data Scientist, Media Services

  Machine Learning und AI03. Sept. 2026

  StandortCulver City

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  • TeilenSenior Product Data Scientist, Media Services 200681003-0670

  • Stellennummer:  200681003-0670
  • Wochenstunden: 40 Stunden

  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 und AI03. Sept. 2026

  StandortCupertino

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  • TeilenSenior Product Data Scientist, Media Services 200681003-0836

  • Stellennummer:  200681003-0836
  • Wochenstunden: 40 Stunden

  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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• Full Stack Software Engineer - ML Compute Capacity

  Machine Learning und AI03. Sept. 2026

  StandortSanta Clara

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

  • Stellennummer:  200681765-3760
  • Wochenstunden: 40 Stunden

  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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• AIML - Machine Learning Researcher, Foundation Models

  Machine Learning und AI03. Sept. 2026

  StandortCupertino

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

  • Stellennummer:  200667299-0836
  • Wochenstunden: 40 Stunden

  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 und AI02. Sept. 2026

  StandortCupertino

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

  • Stellennummer:  200680834-0836
  • Wochenstunden: 40 Stunden

  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 und AI02. Sept. 2026

  StandortCupertino

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

  • Stellennummer:  200631247-0836
  • Wochenstunden: 40 Stunden

  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 und AI02. Sept. 2026

  StandortCupertino

  Aktionen

  
  • Vollständige Jobbeschreibung anzeigen
  • TeilenOn-Device ML Compiler Engineer, Model Compilation, Graphics, Games and Machine Learning 200658150-0836

  • Stellennummer:  200658150-0836
  • Wochenstunden: 40 Stunden

  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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• Full Stack Engineer, Graphics, Games, and ML

  Machine Learning und AI01. Sept. 2026

  StandortCupertino

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

  • Stellennummer:  200680950-0836
  • Wochenstunden: 40 Stunden

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

  Machine Learning und AI31. Aug. 2026

  StandortSeattle

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

  • Stellennummer:  200668189-3337
  • Wochenstunden: 40 Stunden

  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 und AI31. Aug. 2026

  StandortCupertino

  Aktionen

  
  • Vollständige Jobbeschreibung anzeigen
  • TeilenPerception Algorithm Engineer 200681047-0836

  • Stellennummer:  200681047-0836
  • Wochenstunden: 40 Stunden

  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...

  Lebenslauf senden

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

  Machine Learning und AI31. Aug. 2026

  StandortMehrere Standorte in San Francisco Bay Area

  Aktionen

  
  • Vollständige Jobbeschreibung anzeigen
  • TeilenAIML - Staff ML Infrastructure Engineer, ML Platform & Technology - Pre-training Infrastructure 200680978-3401

  • Stellennummer:  200680978-3401
  • Wochenstunden: 40 Stunden

  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...

  Lebenslauf senden

• Senior ML Platform Engineer - Agentic Systems - Special Projects

  Machine Learning und AI31. Aug. 2026

  StandortCupertino

  Aktionen

  
  • Vollständige Jobbeschreibung anzeigen
  • TeilenSenior ML Platform Engineer - Agentic Systems - Special Projects 200651030-0836

  • Stellennummer:  200651030-0836
  • Wochenstunden: 40 Stunden

  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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• Swift Software Engineer - Agentic OS Experiences

  Machine Learning und AI31. Aug. 2026

  StandortCupertino

  Aktionen

  
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  • TeilenSwift Software Engineer - Agentic OS Experiences 200643348-0836

  • Stellennummer:  200643348-0836
  • Wochenstunden: 40 Stunden

  We're a small team at Apple betting on what comes next. We believe AI will fundamentally change how people interact with their devices — and we're looking for software engineers who want to build that future. We can't say much about what we're building for our customers. What we can say: the problems are genuinely new and the potential reach is enormous. Beyond the work, we're a collaborative, humble, and curious group that loves learning from each other and building together.

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• Senior Swift Software Engineer - Agentic OS Experiences

  Machine Learning und AI31. Aug. 2026

  StandortCupertino

  Aktionen

  
  • Vollständige Jobbeschreibung anzeigen
  • TeilenSenior Swift Software Engineer - Agentic OS Experiences 200643345-0836

  • Stellennummer:  200643345-0836
  • Wochenstunden: 40 Stunden

  We're a small team at Apple betting on what comes next. We believe AI will fundamentally change how people interact with their devices — and we're looking for software engineers who want to build that future. We can't say much about what we're building for our customers. What we can say: the problems are genuinely new and the potential reach is enormous. Beyond the work, we're a collaborative, humble, and curious group that loves learning from each other and building together.

  Lebenslauf senden

• Staff/Sr. Core Infrastructure Engineer, AI, Search & Knowledge Platforms

  Machine Learning und AI31. Aug. 2026

  StandortMehrere Standorte in San Francisco Bay Area

  Aktionen

  
  • Vollständige Jobbeschreibung anzeigen
  • TeilenStaff/Sr. Core Infrastructure Engineer, AI, Search & Knowledge Platforms 200679317-3401

  • Stellennummer:  200679317-3401
  • Wochenstunden: 40 Stunden

  Do you want to make Apple products smarter for our users? The Core Infra team is looking for an experienced software engineer to work on core infrastructure for information intelligence at Apple. We build systems to connect Apple users to information as part of the wider Apple Intelligence initiative. You will work closely with product teams and information intelligence teams to deliver reliable, scalable, and efficient infrastructure that powers Apple products for billions of users.

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• Staff/Sr. Core Infrastructure Engineer, AI, Search & Knowledge Platforms

  Machine Learning und AI31. Aug. 2026

  StandortSeattle

  Aktionen

  
  • Vollständige Jobbeschreibung anzeigen
  • TeilenStaff/Sr. Core Infrastructure Engineer, AI, Search & Knowledge Platforms 200679317-3337

  • Stellennummer:  200679317-3337
  • Wochenstunden: 40 Stunden

  Do you want to make Apple products smarter for our users? The Core Infra team is looking for an experienced software engineer to work on core infrastructure for information intelligence at Apple. We build systems to connect Apple users to information as part of the wider Apple Intelligence initiative. You will work closely with product teams and information intelligence teams to deliver reliable, scalable, and efficient infrastructure that powers Apple products for billions of users.

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• On-device ML Performance Engineer, Graphics, Games and Machine Learning

  Machine Learning und AI29. Aug. 2026

  StandortSeattle

  Aktionen

  
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  • TeilenOn-device ML Performance Engineer, Graphics, Games and Machine Learning 200680833-3337

  • Stellennummer:  200680833-3337
  • Wochenstunden: 40 Stunden

  The On-Device Machine Learning team at Apple is responsible for enabling the Research to Production lifecycle of cutting edge machine learning models that power magical user experiences on Apple’s hardware and software platforms. Apple is the best place to do on-device machine learning, and this team sits at the heart of that discipline, interfacing with research, SW engineering, HW engineering, and products. The On-device ML Performance team has the responsibility to analyze latency, memory, power and numerical correctness of the latest machine learning models running on Apple SoC’s, and...

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