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• Machine Learning Safety: Evaluation Research Engineer

  Apprentissage machine et intelligence artificielle16 mars 2026

  EmplacementSan Francisco

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  • PartagerMachine Learning Safety: Evaluation Research Engineer 200651943-3577

  • Numéro du poste :  200651943-3577
  • Heures de travail hebdomadaires : 40 Heures

  This role supports the design and development of safety evaluation methodologies for generative and agentic AI features that enable users across the globe to interact with our media products and services.

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• Machine Learning Safety: Evaluation Research Engineer

  Apprentissage machine et intelligence artificielle16 mars 2026

  EmplacementSeattle

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  • PartagerMachine Learning Safety: Evaluation Research Engineer 200651943-3337

  • Numéro du poste :  200651943-3337
  • Heures de travail hebdomadaires : 40 Heures

  This role supports the design and development of safety evaluation methodologies for generative and agentic AI features that enable users across the globe to interact with our media products and services.

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• Principal Applied Research Engineer/Scientist

  Apprentissage machine et intelligence artificielle14 mars 2026

  EmplacementCupertino

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  • PartagerPrincipal Applied Research Engineer/Scientist 200651756-0836

  • Numéro du poste :  200651756-0836
  • Heures de travail hebdomadaires : 40 Heures

  At Apple, we don’t just build products; we create experiences that enrich the lives of billions. You have the unique opportunity to seamlessly integrate foundational AI research with world-class hardware and software, bringing cutting-edge technology to billions of users. Your work will have a far-reaching impact, setting precedents for how autonomous, deeply personalized AI technologies enrich lives across our entire product ecosystem.

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• AIML - Machine Learning and Applied Research, Responsible AI and Safety

  Apprentissage machine et intelligence artificielle12 mars 2026

  EmplacementCupertino

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  • PartagerAIML - Machine Learning and Applied Research, Responsible AI and Safety 200648559-0836

  • Numéro du poste :  200648559-0836
  • Heures de travail hebdomadaires : 40 Heures

  Apple Intelligence is designed as a deeply integrated, privacy-preserving capability that seamlessly enhances what people can do across iPhone, iPad, Mac, and other devices. Our goal is to elevate the user experience without requiring our customers to learn new products or fundamentally change how they interact with their technology.

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• AIML - Machine Learning and Applied Research, Responsible AI and Safety

  Apprentissage machine et intelligence artificielle12 mars 2026

  EmplacementPittsburgh

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  • PartagerAIML - Machine Learning and Applied Research, Responsible AI and Safety 200648559-2926

  • Numéro du poste :  200648559-2926
  • Heures de travail hebdomadaires : 40 Heures

  Apple Intelligence is designed as a deeply integrated, privacy-preserving capability that seamlessly enhances what people can do across iPhone, iPad, Mac, and other devices. Our goal is to elevate the user experience without requiring our customers to learn new products or fundamentally change how they interact with their technology.

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• AIML - Machine Learning and Applied Research, Responsible AI and Safety

  Apprentissage machine et intelligence artificielle12 mars 2026

  EmplacementSan Francisco

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  • PartagerAIML - Machine Learning and Applied Research, Responsible AI and Safety 200648559-3577

  • Numéro du poste :  200648559-3577
  • Heures de travail hebdomadaires : 40 Heures

  Apple Intelligence is designed as a deeply integrated, privacy-preserving capability that seamlessly enhances what people can do across iPhone, iPad, Mac, and other devices. Our goal is to elevate the user experience without requiring our customers to learn new products or fundamentally change how they interact with their technology.

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• AIML - Machine Learning and Applied Research, Responsible AI and Safety

  Apprentissage machine et intelligence artificielle12 mars 2026

  EmplacementSeattle

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  • PartagerAIML - Machine Learning and Applied Research, Responsible AI and Safety 200648559-3337

  • Numéro du poste :  200648559-3337
  • Heures de travail hebdomadaires : 40 Heures

  Apple Intelligence is designed as a deeply integrated, privacy-preserving capability that seamlessly enhances what people can do across iPhone, iPad, Mac, and other devices. Our goal is to elevate the user experience without requiring our customers to learn new products or fundamentally change how they interact with their technology.

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• Machine Learning Research Manager, Speech and Multimodal Modeling

  Apprentissage machine et intelligence artificielle12 mars 2026

  EmplacementCambridge

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  • PartagerMachine Learning Research Manager, Speech and Multimodal Modeling 200632185-1242

  • Numéro du poste :  200632185-1242
  • Heures de travail hebdomadaires : 40 Heures

  The Speech Team within the Siri organization drives major speech recognition, synthesis and speech to speech model changes for various features deeply embedded throughout Apple’s ecosystem. Our team owns on-device accurate and private speech recognition models across various systems on chip and hardware platforms with diverse compute restrictions, enabling prominent production user experiences! This team drives core technology advances while fulfilling major production needs, including developing speech to speech experiences and the underlying multimodal foundation model technology for cur...

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• Machine Learning Research Manager, Speech and Multimodal Modeling

  Apprentissage machine et intelligence artificielle12 mars 2026

  EmplacementCupertino

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  • PartagerMachine Learning Research Manager, Speech and Multimodal Modeling 200632185-0836

  • Numéro du poste :  200632185-0836
  • Heures de travail hebdomadaires : 40 Heures

  The Speech Team within the Siri organization drives major speech recognition, synthesis and speech to speech model changes for various features deeply embedded throughout Apple’s ecosystem. Our team owns on-device accurate and private speech recognition models across various systems on chip and hardware platforms with diverse compute restrictions, enabling prominent production user experiences! This team drives core technology advances while fulfilling major production needs, including developing speech to speech experiences and the underlying multimodal foundation model technology for cur...

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• AIML - Machine Learning Engineer, MIND

  Apprentissage machine et intelligence artificielle11 mars 2026

  EmplacementSeattle

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  • PartagerAIML - Machine Learning Engineer, MIND 200651341-3337

  • Numéro du poste :  200651341-3337
  • Heures de travail hebdomadaires : 40 Heures

  As a Machine Learning Engineer in the Machine Intelligence Neural Design (MIND) team, you will have an opportunity to be part of an ML innovation organization within Apple that has its roots in the computer vision research community. The team is well positioned for strategic contributions in the short-term (on well-known Apple products) and in the long-term (on highly ambitious, high-risk, high-reward projects). This role has a strong focus on shipping ML-based features and products. You'll innovate in the entire end-to-end ML production pipeline. This includes but is not limited to; crafti...

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• Applied Research Engineer — Multimodal AI

  Apprentissage machine et intelligence artificielle11 mars 2026

  EmplacementSunnyvale

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  • PartagerApplied Research Engineer — Multimodal AI 200649931-3956

  • Numéro du poste :  200649931-3956
  • Heures de travail hebdomadaires : 40 Heures

  The Video Computer Vision (VCV) organization is a centralized applied research and engineering team developing real-time, on-device Computer Vision and Machine Perception technologies across Apple products. Within VCV, the Multimodal Intelligence team builds next-generation multimodal AI systems that combine large language models, multimodal LLMs, and foundation models to create intelligent systems capable of understanding, reasoning, and acting across language, vision, audio, and tools. We develop multimodal agentic systems deeply integrated into the Apple ecosystem, partnering across hard...

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• Research Engineer - Special Projects

  Apprentissage machine et intelligence artificielle11 mars 2026

  EmplacementSanta Clara

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  • PartagerResearch Engineer - Special Projects 200651094-3760

  • Numéro du poste :  200651094-3760
  • Heures de travail hebdomadaires : 40 Heures

  We're seeking research engineers to build infrastructure for breakthrough innovations in AI agents, reinforcement learning, and simulation environments. You will design and implement high-quality data pipelines, simulation systems, and tooling that enable cutting-edge agent research. You will work in an organization of world-class machine learning researchers and engineers. Our work powers technologies across the Apple ecosystem and is published in the most selective scientific journals and conferences.

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• Research Engineer - Special Projects

  Apprentissage machine et intelligence artificielle11 mars 2026

  EmplacementSeattle

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  • PartagerResearch Engineer - Special Projects 200651094-3337

  • Numéro du poste :  200651094-3337
  • Heures de travail hebdomadaires : 40 Heures

  We're seeking research engineers to build infrastructure for breakthrough innovations in AI agents, reinforcement learning, and simulation environments. You will design and implement high-quality data pipelines, simulation systems, and tooling that enable cutting-edge agent research. You will work in an organization of world-class machine learning researchers and engineers. Our work powers technologies across the Apple ecosystem and is published in the most selective scientific journals and conferences.

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• Applied Machine Learning Research Engineer - Multimodal LLMs for Human Understanding

  Apprentissage machine et intelligence artificielle10 mars 2026

  EmplacementSunnyvale

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  • PartagerApplied Machine Learning Research Engineer - Multimodal LLMs for Human Understanding 200630862-3956

  • Numéro du poste :  200630862-3956
  • Heures de travail hebdomadaires : 40 Heures

  We’re starting to see the incredible potential of multimodal foundation and large language models, and many applications in the computer vision and machine learning domain that previously appeared infeasible are now within reach. We are looking for a highly motivated and skilled Applied Machine Learning Research Engineer to join our team in the Video Computer Vision group and help us push the boundaries of human understanding. The Video Computer Vision org has pioneered human-centric real-time features such as FaceID, FaceKit, and Gaze and Hand gesture control which have changed the way mil...

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• ML Applied Scientist, Apple Services Engineering AI/ML

  Apprentissage machine et intelligence artificielle10 mars 2026

  EmplacementSeattle

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  • PartagerML Applied Scientist, Apple Services Engineering AI/ML 200650473-3337

  • Numéro du poste :  200650473-3337
  • Heures de travail hebdomadaires : 40 Heures

  The Apple Services Engineering (ASE) organization is one of the most exciting examples of Apple’s long-held passion for combining art with technology. We are the people who power the App Store, Apple TV, Apple Music, Apple Podcasts, and Apple Books. And we do it on a massive scale, meeting Apple’s high expectations with high performance, to deliver a huge variety of entertainment in over 40 languages to more than 170 countries. Our scientists and engineers build secure, end-to-end solutions powered by Artifical Intelligence & Machine Learning. Thanks to Apple’s unique integration of hardwa...

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• AIML - Machine Learning Engineer, MLR

  Apprentissage machine et intelligence artificielle09 mars 2026

  EmplacementCupertino

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  • PartagerAIML - Machine Learning Engineer, MLR 200650849-0836

  • Numéro du poste :  200650849-0836
  • Heures de travail hebdomadaires : 40 Heures

  As part of Apple’s Machine Learning Research organization, we do world-class scientific research and build the technologies that will power future products at Apple. The techniques and tools we create will impact ML solutions across Apple, which in turn power most of the features we deliver to billions of consumers worldwide. We are looking for highly motivated, result-oriented engineers with a strong background in system engineering and software development to join our team. In this position you will work with researchers and software engineers across the Machine Learning Research group ...

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• Staff Applied Research and ML , Responsible AI and Safety

  Apprentissage machine et intelligence artificielle09 mars 2026

  EmplacementCupertino

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  • PartagerStaff Applied Research and ML , Responsible AI and Safety 200650850-0836

  • Numéro du poste :  200650850-0836
  • Heures de travail hebdomadaires : 40 Heures

  Play a part in building the next generation of generative AI applications at Apple. We’re looking for AI Leaders, Scientists, Engineers and Researchers to tackle ambitious projects that will impact the future of Apple and our products.

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• Staff Applied Research and ML , Responsible AI and Safety

  Apprentissage machine et intelligence artificielle09 mars 2026

  EmplacementSeattle

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  • PartagerStaff Applied Research and ML , Responsible AI and Safety 200650850-3337

  • Numéro du poste :  200650850-3337
  • Heures de travail hebdomadaires : 40 Heures

  Play a part in building the next generation of generative AI applications at Apple. We’re looking for AI Leaders, Scientists, Engineers and Researchers to tackle ambitious projects that will impact the future of Apple and our products.

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• AIML - ML Research Scientist, HCMI

  Apprentissage machine et intelligence artificielle09 mars 2026

  EmplacementSeattle

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  • PartagerAIML - ML Research Scientist, HCMI 200642850-3337

  • Numéro du poste :  200642850-3337
  • Heures de travail hebdomadaires : 40 Heures

  We're seeking a ML Research Scientist to join the UI Understanding team within AIML. The UI understanding team tackles challenges at the intersection of ML and HCI, with a focus on automated understanding, interaction, evaluation and generation of graphical user interfaces of all kinds across all Apple platforms. Research Scientists in our team collaborate with ML Engineers, Software Engineers, and other specialists to tackle significant technical and human-centered challenges, develop and deploy technologies using Machine Learning, and collaborate with partner teams across Apple to ship in...

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• Machine Learning Engineer- Health AIML

  Apprentissage machine et intelligence artificielle06 mars 2026

  EmplacementCupertino

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  • PartagerMachine Learning Engineer- Health AIML 200650295-0836

  • Numéro du poste :  200650295-0836
  • Heures de travail 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 passionate about solving real-world problems in the health domain that make a difference in our customers' lives.

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