Trouvez le rôle idéal.

Résultats de la recherche

192 résultat(s)

Trier par : Plus récents

• Senior Systems Engineer - Special Projects

  Apprentissage automatique et intelligence artificielle04 sept. 2026

  LieuCupertino

  Actions

  
  • Voir la description complète du rôle
  • PartagerSenior Systems Engineer - Special Projects 200681868-0836

  • Numéro de rôle :  200681868-0836
  • Heures hebdomadaires : 40 Heures

  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.

  Envoyer un CV

• Machine Learning Researcher Multi-Modal Reasoning

  Apprentissage automatique et intelligence artificielle04 sept. 2026

  LieuCupertino

  Actions

  
  • Voir la description complète du rôle
  • PartagerMachine Learning Researcher Multi-Modal Reasoning 200682033-0836

  • Numéro de rôle :  200682033-0836
  • Heures hebdomadaires : 40 Heures

  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...

  Envoyer un CV

• Machine Learning Researcher Multi-Modal Reasoning

  Apprentissage automatique et intelligence artificielle04 sept. 2026

  LieuSeattle

  Actions

  
  • Voir la description complète du rôle
  • PartagerMachine Learning Researcher Multi-Modal Reasoning 200682033-3337

  • Numéro de rôle :  200682033-3337
  • Heures hebdomadaires : 40 Heures

  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...

  Envoyer un CV

• Senior Product Data Scientist, Media Services

  Apprentissage automatique et intelligence artificielle03 sept. 2026

  LieuCulver City

  Actions

  
  • Voir la description complète du rôle
  • PartagerSenior Product Data Scientist, Media Services 200681003-0670

  • Numéro de rôle :  200681003-0670
  • Heures hebdomadaires : 40 Heures

  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.

  Envoyer un CV

• Senior Product Data Scientist, Media Services

  Apprentissage automatique et intelligence artificielle03 sept. 2026

  LieuCupertino

  Actions

  
  • Voir la description complète du rôle
  • PartagerSenior Product Data Scientist, Media Services 200681003-0836

  • Numéro de rôle :  200681003-0836
  • Heures hebdomadaires : 40 Heures

  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.

  Envoyer un CV

• Full Stack Software Engineer - ML Compute Capacity

  Apprentissage automatique et intelligence artificielle03 sept. 2026

  LieuSanta Clara

  Actions

  
  • Voir la description complète du rôle
  • PartagerFull Stack Software Engineer - ML Compute Capacity 200681765-3760

  • Numéro de rôle :  200681765-3760
  • Heures hebdomadaires : 40 Heures

  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.

  Envoyer un CV

• AIML - Machine Learning Researcher, Foundation Models

  Apprentissage automatique et intelligence artificielle03 sept. 2026

  LieuCupertino

  Actions

  
  • Voir la description complète du rôle
  • PartagerAIML - Machine Learning Researcher, Foundation Models 200667299-0836

  • Numéro de rôle :  200667299-0836
  • Heures hebdomadaires : 40 Heures

  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.

  Envoyer un CV

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

  Apprentissage automatique et intelligence artificielle02 sept. 2026

  LieuCupertino

  Actions

  
  • Voir la description complète du rôle
  • PartagerOn-device ML Infrastructure Engineer (Orchestration & Performance) 200680834-0836

  • Numéro de rôle :  200680834-0836
  • Heures hebdomadaires : 40 Heures

  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...

  Envoyer un CV

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

  Apprentissage automatique et intelligence artificielle02 sept. 2026

  LieuCupertino

  Actions

  
  • Voir la description complète du rôle
  • PartagerOn-Device ML Compiler Engineer, Model Compilation, Graphics, Games and Machine Learning 200631247-0836

  • Numéro de rôle :  200631247-0836
  • Heures hebdomadaires : 40 Heures

  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...

  Envoyer un CV

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

  Apprentissage automatique et intelligence artificielle02 sept. 2026

  LieuCupertino

  Actions

  
  • Voir la description complète du rôle
  • PartagerOn-Device ML Compiler Engineer, Model Compilation, Graphics, Games and Machine Learning 200658150-0836

  • Numéro de rôle :  200658150-0836
  • Heures hebdomadaires : 40 Heures

  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...

  Envoyer un CV

• Full Stack Engineer, Graphics, Games, and ML

  Apprentissage automatique et intelligence artificielle01 sept. 2026

  LieuCupertino

  Actions

  
  • Voir la description complète du rôle
  • PartagerFull Stack Engineer, Graphics, Games, and ML 200680950-0836

  • Numéro de rôle :  200680950-0836
  • Heures hebdomadaires : 40 Heures

  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.

  Envoyer un CV

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

  Apprentissage automatique et intelligence artificielle31 août 2026

  LieuSeattle

  Actions

  
  • Voir la description complète du rôle
  • PartagerAIML - Sr Machine Learning Research Scientist, Data and ML Innovation 200668189-3337

  • Numéro de rôle :  200668189-3337
  • Heures hebdomadaires : 40 Heures

  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.

  Envoyer un CV

• Perception Algorithm Engineer

  Apprentissage automatique et intelligence artificielle31 août 2026

  LieuCupertino

  Actions

  
  • Voir la description complète du rôle
  • PartagerPerception Algorithm Engineer 200681047-0836

  • Numéro de rôle :  200681047-0836
  • Heures hebdomadaires : 40 Heures

  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...

  Envoyer un CV

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

  Apprentissage automatique et intelligence artificielle31 août 2026

  LieuMétropole de San Francisco : plusieurs lieux

  Actions

  
  • Voir la description complète du rôle
  • PartagerAIML - Staff ML Infrastructure Engineer, ML Platform & Technology - Pre-training Infrastructure 200680978-3401

  • Numéro de rôle :  200680978-3401
  • Heures hebdomadaires : 40 Heures

  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...

  Envoyer un CV

• Senior ML Platform Engineer - Agentic Systems - Special Projects

  Apprentissage automatique et intelligence artificielle31 août 2026

  LieuCupertino

  Actions

  
  • Voir la description complète du rôle
  • PartagerSenior ML Platform Engineer - Agentic Systems - Special Projects 200651030-0836

  • Numéro de rôle :  200651030-0836
  • Heures hebdomadaires : 40 Heures

  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...

  Envoyer un CV

• Swift Software Engineer - Agentic OS Experiences

  Apprentissage automatique et intelligence artificielle31 août 2026

  LieuCupertino

  Actions

  
  • Voir la description complète du rôle
  • PartagerSwift Software Engineer - Agentic OS Experiences 200643348-0836

  • Numéro de rôle :  200643348-0836
  • Heures hebdomadaires : 40 Heures

  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.

  Envoyer un CV

• Senior Swift Software Engineer - Agentic OS Experiences

  Apprentissage automatique et intelligence artificielle31 août 2026

  LieuCupertino

  Actions

  
  • Voir la description complète du rôle
  • PartagerSenior Swift Software Engineer - Agentic OS Experiences 200643345-0836

  • Numéro de rôle :  200643345-0836
  • Heures hebdomadaires : 40 Heures

  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.

  Envoyer un CV

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

  Apprentissage automatique et intelligence artificielle31 août 2026

  LieuMétropole de San Francisco : plusieurs lieux

  Actions

  
  • Voir la description complète du rôle
  • PartagerStaff/Sr. Core Infrastructure Engineer, AI, Search & Knowledge Platforms 200679317-3401

  • Numéro de rôle :  200679317-3401
  • Heures hebdomadaires : 40 Heures

  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.

  Envoyer un CV

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

  Apprentissage automatique et intelligence artificielle31 août 2026

  LieuSeattle

  Actions

  
  • Voir la description complète du rôle
  • PartagerStaff/Sr. Core Infrastructure Engineer, AI, Search & Knowledge Platforms 200679317-3337

  • Numéro de rôle :  200679317-3337
  • Heures hebdomadaires : 40 Heures

  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.

  Envoyer un CV

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

  Apprentissage automatique et intelligence artificielle29 août 2026

  LieuSeattle

  Actions

  
  • Voir la description complète du rôle
  • PartagerOn-device ML Performance Engineer, Graphics, Games and Machine Learning 200680833-3337

  • Numéro de rôle :  200680833-3337
  • Heures hebdomadaires : 40 Heures

  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...

  Envoyer un CV