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• Machine Learning Research Engineer, ASE Search

  Apprentissage automatique et intelligence artificielle11 sept. 2026

  LieuCupertino

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  • PartagerMachine Learning Research Engineer, ASE Search 200679268-0836

  • Numéro de rôle :  200679268-0836
  • Heures hebdomadaires : 40 Heures

  The Apple Services Engineering (ASE) team is one of the most exciting examples of Apple's long-held passion for combining art and technology. People here create the experiences loved by users across App Store, Apple TV, Apple Music, Apple Podcasts, Apple Books, and Apple Fitness. The scale is massive, delivering content and entertainment in over 35 languages to more than 150 countries, while meeting Apple's high bar for quality and performance. The team is responsible for building secure, robust, end-to-end solutions across server and client to solve challenging problems. Thanks to Apple'...

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• Machine Learning Research Engineer, ASE Search

  Apprentissage automatique et intelligence artificielle11 sept. 2026

  LieuSeattle

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  • PartagerMachine Learning Research Engineer, ASE Search 200679268-3337

  • Numéro de rôle :  200679268-3337
  • Heures hebdomadaires : 40 Heures

  The Apple Services Engineering (ASE) team is one of the most exciting examples of Apple's long-held passion for combining art and technology. People here create the experiences loved by users across App Store, Apple TV, Apple Music, Apple Podcasts, Apple Books, and Apple Fitness. The scale is massive, delivering content and entertainment in over 35 languages to more than 150 countries, while meeting Apple's high bar for quality and performance. The team is responsible for building secure, robust, end-to-end solutions across server and client to solve challenging problems. Thanks to Apple'...

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• ML Infrastructure Engineer - ML Compute Capacity

  Apprentissage automatique et intelligence artificielle11 sept. 2026

  LieuSanta Clara

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  • PartagerML Infrastructure 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.

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• Senior Machine Learning Engineer, Apple Wallet

  Apprentissage automatique et intelligence artificielle11 sept. 2026

  LieuCupertino

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  • PartagerSenior Machine Learning Engineer, Apple Wallet 200683100-0836

  • Numéro de rôle :  200683100-0836
  • Heures hebdomadaires : 40 Heures

  Join a dynamic AI and Machine Learning team focused on protecting millions of users from fraud and securing their identity every day. We operate at the intersection of cutting-edge research and production systems, collaborating across Apple—from other ML teams to Operations to Engineering—with strong leadership support and investment in our mission-critical work. We value continuous learning, intellectual curiosity, and commitment to excellence while maintaining focus on user privacy and security.

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• Software Engineering Manager - Siri Evaluation, Developer Workflows

  Apprentissage automatique et intelligence artificielle10 sept. 2026

  LieuNew York

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  • PartagerSoftware Engineering Manager - Siri Evaluation, Developer Workflows 200674115-2459

  • Numéro de rôle :  200674115-2459
  • Heures hebdomadaires : 40 Heures

  Siri's evaluation signal drives every model and product decision before a release ships. The Developer Workflows team, part of Siri's Agentic Evaluation Engineering organization, builds and maintains the next generation of developer workflows that Apple's internal teams rely on to evaluate what they build. We are looking for a hands-on engineering leader to run this team in New York and set its technical direction.

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• Machine Learning Engineer - Agentic AI Evaluation Frameworks

  Apprentissage automatique et intelligence artificielle09 sept. 2026

  LieuCupertino

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  • PartagerMachine Learning Engineer - Agentic AI Evaluation Frameworks 200681825-0836

  • Numéro de rôle :  200681825-0836
  • Heures hebdomadaires : 40 Heures

  Imagine what you could do here. At Apple, great ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your work, and there’s no telling what you could accomplish. The Channel Sales AI Product Engineering team is looking for a Machine Learning Evaluation Engineer to help build and scale evaluation capabilities for our next generation of AI-powered experiences. In this role, you will develop evaluation frameworks, datasets, tooling, and quality signals that enable teams to understand and continuously improve Gen...

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• Machine Learning Engineer - Health AIML

  Apprentissage automatique et intelligence artificielle09 sept. 2026

  LieuCupertino

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  • PartagerMachine Learning Engineer - Health AIML 200662966-0836

  • Numéro de rôle :  200662966-0836
  • Heures hebdomadaires : 40 Heures

  The Health AI team is at the forefront of machine learning and health science at Apple. We are a close-knit team of highly accomplished, deeply technical research scientists, software engineers, and machine learning engineers passionate about delivering innovative technologies that impact millions of users. We are looking for a senior engineer excited about solving real-world problems in the health domain that make a difference in our customers' lives.

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• AIML - Software Engineer - AI, Evaluation

  Apprentissage automatique et intelligence artificielle08 sept. 2026

  LieuCupertino

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  • PartagerAIML - Software Engineer - AI, Evaluation 200679752-0836

  • Numéro de rôle :  200679752-0836
  • Heures hebdomadaires : 40 Heures

  Do you get excited by building software systems to enhance the automatic evaluation of various Apple AI products? Our Evaluation organization is responsible for providing principled assessments across a diverse range of Apple features, from Search, Siri to the latest Apple Intelligence capabilities. Our team specializes in building LLM-as-judge and related tools to improve both the quality and efficiency of these evaluations. We are seeking a highly innovative and passionate AI software engineer to expand our tools and systems.

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• Engineering Manager, Web Indexing

  Apprentissage automatique et intelligence artificielle08 sept. 2026

  LieuSanta Clara

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  • PartagerEngineering Manager, Web Indexing 200682440-3760

  • Numéro de rôle :  200682440-3760
  • Heures hebdomadaires : 40 Heures

  We’re looking for an Engineering Manager to lead the team that builds and scales the indexing infrastructure powering web and image search. The team runs both petabyte-scale offline batch pipelines and near-real-time indexing systems that turn web documents, images, and metadata into production-ready indexes. You’ll lead engineers across distributed computing, data processing, and storage, while partnering with crawling, ranking, ML, retrieval, and infrastructure teams to shape the long-term indexing strategy. This is a cross-functional leadership role requiring strong technical depth, orga...

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• Senior Systems Engineer - Special Projects

  Apprentissage automatique et intelligence artificielle04 sept. 2026

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  • 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.

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• Machine Learning Researcher Multi-Modal Reasoning

  Apprentissage automatique et intelligence artificielle04 sept. 2026

  LieuCupertino

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  • 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...

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• Machine Learning Researcher Multi-Modal Reasoning

  Apprentissage automatique et intelligence artificielle04 sept. 2026

  LieuSeattle

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  • 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...

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• Senior Product Data Scientist, Media Services

  Apprentissage automatique et intelligence artificielle03 sept. 2026

  LieuCulver City

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  • 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.

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• Senior Product Data Scientist, Media Services

  Apprentissage automatique et intelligence artificielle03 sept. 2026

  LieuCupertino

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  • 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.

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• AIML - Machine Learning Researcher, Foundation Models

  Apprentissage automatique et intelligence artificielle03 sept. 2026

  LieuCupertino

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  • 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.

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

  Apprentissage automatique et intelligence artificielle02 sept. 2026

  LieuCupertino

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  • 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...

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

  Apprentissage automatique et intelligence artificielle02 sept. 2026

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  • 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...

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

  Apprentissage automatique et intelligence artificielle02 sept. 2026

  LieuCupertino

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  • 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...

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• Full Stack Engineer, Graphics, Games, and ML

  Apprentissage automatique et intelligence artificielle01 sept. 2026

  LieuCupertino

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  • 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.

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

  Apprentissage automatique et intelligence artificielle31 août 2026

  LieuSeattle

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  • 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.

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