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• Machine Learning Manager, Data for Foundation Models - SIML

  Apprentissage automatique et intelligence artificielle03 sept. 2026

  LieuCupertino

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

  • Numéro de rôle :  200667330-0836
  • Heures hebdomadaires : 40 Heures

  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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• AIML - Machine Learning Researcher, Foundation Models

  Apprentissage automatique et intelligence artificielle03 sept. 2026

  LieuCupertino

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

  • Numéro de rôle :  200680453-0836
  • 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. We are looking for engineers who are passionate about build...

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• AIML - Machine Learning Researcher, Foundation Models

  Apprentissage automatique et intelligence artificielle03 sept. 2026

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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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• Senior Machine Learning Engineer / Senior Applied Scientist, Search & AI

  Apprentissage automatique et intelligence artificielle02 sept. 2026

  LieuBengaluru

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  • PartagerSenior Machine Learning Engineer / Senior Applied Scientist, Search & AI 200681501-0321

  • Numéro de rôle :  200681501-0321
  • Heures hebdomadaires : 40 Heures

  Apple is where individual imaginations come 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 strengthening each other’s ideas. That happens because every one of us believes that we can make something wonderful and share it with the world, changing lives for the better! Here, you’ll do more than join something — you’ll add something. The Information Intelligence team is at the forefront of revolutionizing how billions of people interact with their devices to search and find wha...

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• Staff Machine Learning Engineer, Siri Runtime Systems and Interaction

  Apprentissage automatique et intelligence artificielle01 sept. 2026

  LieuZürich

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  • PartagerStaff Machine Learning Engineer, Siri Runtime Systems and Interaction 200680814-4170

  • Numéro de rôle :  200680814-4170
  • Heures hebdomadaires : 40 Heures

  As part of Siri Attention and Invocation, we collaborate to deliver the next revolution in human-computer interaction, to inspire and create groundbreaking technology for large-scale systems spanning speech, vision, and generative AI to overcome real-world challenges through innovation and user-centered design that improves the daily experience of millions of our customers.

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• Language Engineer (Mexican Spanish), Global Siri

  Apprentissage automatique et intelligence artificielle01 sept. 2026

  LieuBarcelona

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  • PartagerLanguage Engineer (Mexican Spanish), Global Siri 200680115-0215

  • Numéro de rôle :  200680115-0215
  • Heures hebdomadaires : 40 Heures

  Play a part in the next revolution of machine learning technology! Create groundbreaking technology for large scale systems, spoken language and artificial intelligence. And work with the people who created the intelligent assistant that helps millions of people get things done — just by asking. Come and join the team that teaches Siri how to understand and speak new languages. We at Global Siri are passionate to build the future of intelligent assistants. We are looking for a Software Engineer with a strong Machine Learning background to join our team shaping the future of Siri in Global...

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• AIML - Machine Learning Researcher, Foundation Models

  Apprentissage automatique et intelligence artificielle31 août 2026

  LieuCupertino

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

  • Numéro de rôle :  200641998-0836
  • Heures hebdomadaires : 40 Heures

  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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• AIML - Machine Learning Researcher, Foundation Models

  Apprentissage automatique et intelligence artificielle31 août 2026

  LieuNew York

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  • PartagerAIML - Machine Learning Researcher, Foundation Models 200641998-2459

  • Numéro de rôle :  200641998-2459
  • Heures hebdomadaires : 40 Heures

  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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• Sr Machine Learning Engineer, Proactive - ML Systems Engineering

  Apprentissage automatique et intelligence artificielle27 août 2026

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  • PartagerSr Machine Learning Engineer, Proactive - ML Systems Engineering 200660665-0836

  • Numéro de rôle :  200660665-0836
  • Heures hebdomadaires : 40 Heures

  Apple’s products combine the best hardware and incredible software to deliver magical experiences to our customers. The Proactive Intelligence team builds features that anticipate customer’s needs and create personalized experiences by adapting to user behaviors with machine learning running locally on users’ devices. We are seeking exceptional software engineers with a strong machine learning background to join our team where we’re making Apple Intelligence more capable and personalized to surprise and delight our millions of customers on the iPhone, Mac, Apple Watch, iPad, and more!

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• Sr. Applied Scientist, AI Evaluation & Quality Systems

  Apprentissage automatique et intelligence artificielle26 août 2026

  LieuSeattle

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  • PartagerSr. Applied Scientist, AI Evaluation & Quality Systems 200679948-3337

  • Numéro de rôle :  200679948-3337
  • Heures hebdomadaires : 40 Heures

  Apple Services Engineering (ASE) powers the AI and LLM features behind experiences that hundreds of millions of users love every day. As these systems increasingly rely on human-in-the-loop evaluation, the quality of our products is directly constrained by the quality of our evaluation systems. We believe that to build exceptional AI, you need exceptional mechanisms to validate the signals used to train and evaluate them.

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• AIML Data Operations - L&D Program Manager

  Apprentissage automatique et intelligence artificielle26 août 2026

  LieuAustin

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  • PartagerAIML Data Operations - L&D Program Manager 200678974-0157

  • Numéro de rôle :  200678974-0157
  • Heures hebdomadaires : 40 Heures

  The AIML Data Operations team operates in a fast-paced, dynamic environment. We are looking for an experienced L&D Program Manager who can expertly navigate the demands of this environment, balancing the need for rapid delivery with a commitment to producing high-quality, innovative learning experiences.

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• Machine Learning Engineer - AI, Search & Knowledge Platform

  Apprentissage automatique et intelligence artificielle24 août 2026

  LieuPékin

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  • PartagerMachine Learning Engineer - AI, Search & Knowledge Platform 200679377-0351

  • Numéro de rôle :  200679377-0351
  • Heures hebdomadaires : 40 Heures

  The Answers & Knowledge & Information team is creating groundbreaking technology for artificial intelligence, machine learning, and natural language processing! The features we create are redefining how hundreds of millions of people use their computers and mobile devices to search and find what they are looking for. Siri’s universal search engine powers search features across a variety of Apple products, including Siri, Spotlight, Safari, Messages and Lookup. As part of this group, you will be doing large scale machine learning and deep learning to improve Query Understanding and Ranking...

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• Machine Learning Engineer - AI, Search & Knowledge Platform

  Apprentissage automatique et intelligence artificielle24 août 2026

  LieuShanghai

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  • PartagerMachine Learning Engineer - AI, Search & Knowledge Platform 200679377-3715

  • Numéro de rôle :  200679377-3715
  • Heures hebdomadaires : 40 Heures

  The Answers & Knowledge & Information team is creating groundbreaking technology for artificial intelligence, machine learning, and natural language processing! The features we create are redefining how hundreds of millions of people use their computers and mobile devices to search and find what they are looking for. Siri’s universal search engine powers search features across a variety of Apple products, including Siri, Spotlight, Safari, Messages and Lookup. As part of this group, you will be doing large scale machine learning and deep learning to improve Query Understanding and Ranking...

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• Sr. Machine Learning Research Engineer, Siri Speech

  Apprentissage automatique et intelligence artificielle20 août 2026

  LieuCupertino

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  • PartagerSr. Machine Learning Research Engineer, Siri Speech 200648466-0836

  • Numéro de rôle :  200648466-0836
  • Heures hebdomadaires : 40 Heures

  Join the team redefining what a deeply personal and integrated assistant can be.  As part of the Siri organization, you will help shape one of the world's most widely used AI assistants, powered by our next-generation of Apple Intelligence, with capabilities like personal context understanding and on-screen awareness, built with privacy from the ground up. Your work will have direct, meaningful impact for users across iOS, iPadOS, macOS, watchOS, and visionOS. This is a rare opportunity to build at the intersection of cutting-edge AI and human-centered design, shipping technology that is ...

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• Sr. Machine Learning Research Engineer, Siri Speech

  Apprentissage automatique et intelligence artificielle20 août 2026

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  • PartagerSr. Machine Learning Research Engineer, Siri Speech 200663638-0836

  • Numéro de rôle :  200663638-0836
  • Heures hebdomadaires : 40 Heures

  Join the team redefining what a deeply personal and integrated assistant can be.  As part of the Siri organization, you will help shape one of the world's most widely used AI assistants, powered by our next-generation of Apple Intelligence, with capabilities like personal context understanding and on-screen awareness, built with privacy from the ground up. Your work will have direct, meaningful impact for users across iOS, iPadOS, macOS, watchOS, and visionOS. This is a rare opportunity to build at the intersection of cutting-edge AI and human-centered design, shipping technology that is ...

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• Robot ML Engineer

  Apprentissage automatique et intelligence artificielle17 août 2026

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  • PartagerRobot ML Engineer 200677453-0836

  • Numéro de rôle :  200677453-0836
  • 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...

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• AIML - Senior Applied ML Research Scientist, Accessibility

  Apprentissage automatique et intelligence artificielle17 août 2026

  LieuSeattle

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  • PartagerAIML - Senior Applied ML Research Scientist, Accessibility 200678312-3337

  • Numéro de rôle :  200678312-3337
  • Heures hebdomadaires : 40 Heures

  We are seeking an Applied Machine Learning Research Scientist to join our Accessibility efforts on the Human-Centered Machine Intelligence (HCMI) team within AIML at Apple. Research Scientists in HCMI tackle significant technical challenges, collaborate with partner teams to ship products, and shape the field of human-centered AIML via external publication. Join us to advance ML research and intelligent interactive technologies that enable people of all abilities to use Apple technology.

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• AIML - Senior Applied ML Research Scientist, Accessibility

  Apprentissage automatique et intelligence artificielle17 août 2026

  LieuPittsburgh

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  • PartagerAIML - Senior Applied ML Research Scientist, Accessibility 200678312-2926

  • Numéro de rôle :  200678312-2926
  • Heures hebdomadaires : 40 Heures

  We are seeking an Applied Machine Learning Research Scientist to join our Accessibility efforts on the Human-Centered Machine Intelligence (HCMI) team within AIML at Apple. Research Scientists in HCMI tackle significant technical challenges, collaborate with partner teams to ship products, and shape the field of human-centered AIML via external publication. Join us to advance ML research and intelligent interactive technologies that enable people of all abilities to use Apple technology.

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• AIML - Senior Applied ML Research Scientist, Accessibility

  Apprentissage automatique et intelligence artificielle17 août 2026

  LieuCupertino

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  • PartagerAIML - Senior Applied ML Research Scientist, Accessibility 200678312-0836

  • Numéro de rôle :  200678312-0836
  • Heures hebdomadaires : 40 Heures

  We are seeking an Applied Machine Learning Research Scientist to join our Accessibility efforts on the Human-Centered Machine Intelligence (HCMI) team within AIML at Apple. Research Scientists in HCMI tackle significant technical challenges, collaborate with partner teams to ship products, and shape the field of human-centered AIML via external publication. Join us to advance ML research and intelligent interactive technologies that enable people of all abilities to use Apple technology.

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• AIML Data Operations - Team Lead

  Apprentissage automatique et intelligence artificielle17 août 2026

  LieuShanghai

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  • PartagerAIML Data Operations - Team Lead 200593444-3715

  • Numéro de rôle :  200593444-3715
  • Heures hebdomadaires : 40 Heures

  You’re passionate about supporting others to achieve the highest level of service in every interaction. You’re a role model and leader who advocates for their team. You’re invested in your work relationships and hold yourself and your team to a high standard of accountability. You’re naturally curious and gravitate towards tools and resources that enrich your team. If you are ready to inspire and lead, join Apple and help us leave the world better than we found it. Are you interested in being part of a team that continues to innovate the way people and machines interact? The launch of Si...

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