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• US - Specialist: Full-Time, Part-Time, and Part-Time Temporary

  Vente au détail21 janv. 2026

  EmplacementDivers emplacements États-Unis

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  • PartagerUS - Specialist: Full-Time, Part-Time, and Part-Time Temporary 114438158

  • Numéro du poste :  114438158
  • Heures de travail hebdomadaires : 40 Heures

  Apple Retail is where the best of Apple comes together. We bring our expertise to help people do what they love, delivering an only-at-Apple experience. We believe inclusion is a shared responsibility and we work together to foster a culture where everyone belongs and is inspired to do their best work. As a Specialist, you build brand loyalty and create owners of Apple products and services. You’re dedicated to selling and delivering a customer service experience that is unlike any other. A Specialist is curious — you ask questions to learn about our customers’ needs, customizing recommend...

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• Senior Video Standards Engineer

  Logiciels et services21 janv. 2026

  EmplacementCupertino

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  • PartagerSenior Video Standards Engineer 200625867-0836

  • Numéro du poste :  200625867-0836
  • Heures de travail hebdomadaires : 40 Heures

  Do you want to shape the future of technology and multimedia? Apple's Multimedia Engineering team is looking for a video standards engineer who will represent the voice of Apple Multimedia in standards bodies around the world. In this role, you will join a small team that is responsible for Apple's engagement with several standards developing organizations including Alliance for Open Media (AOM), ITU, MPEG, 3GPP, and others. You will investigate and develop new media technologies collaborate with other teams within Apple in such development and then engage with these organizations for their...

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• AIML - Machine Learning Researcher, Foundation Models

  Apprentissage machine et intelligence artificielle21 janv. 2026

  EmplacementCupertino

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  • PartagerAIML - Machine Learning Researcher, Foundation Models 200623739-0836

  • Numéro du poste :  200623739-0836
  • Heures de travail 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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• AIML - Machine Learning Researcher, Foundation Models

  Apprentissage machine et intelligence artificielle21 janv. 2026

  EmplacementNew York

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  • PartagerAIML - Machine Learning Researcher, Foundation Models 200623739-2459

  • Numéro du poste :  200623739-2459
  • Heures de travail 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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• AIML - Machine Learning Researcher, Foundation Models

  Apprentissage machine et intelligence artificielle21 janv. 2026

  EmplacementSeattle

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  • PartagerAIML - Machine Learning Researcher, Foundation Models 200623739-3337

  • Numéro du poste :  200623739-3337
  • Heures de travail 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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• Data Solution Engineer, Data Quality and Governance

  Ventes et développement des affaires21 janv. 2026

  EmplacementAustin

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  • PartagerData Solution Engineer, Data Quality and Governance 200642585-0157

  • Numéro du poste :  200642585-0157
  • Heures de travail hebdomadaires : 40 Heures

  Imagine what you could do here. The people here at Apple don't just create products — they create the kind of wonder that's revolutionized entire industries. It's the diversity of those people and their ideas that inspires the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. Join Apple, and help us leave the world better than we found it. Apple's Sales organization generates the revenue needed to fuel our ongoing development of products and services. This in turn, enriches the lives of hundreds of millions of people around th...

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• Data Solution Engineer, Data Quality and Governance

  Ventes et développement des affaires21 janv. 2026

  EmplacementCupertino

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  • PartagerData Solution Engineer, Data Quality and Governance 200642585-0836

  • Numéro du poste :  200642585-0836
  • Heures de travail hebdomadaires : 40 Heures

  Imagine what you could do here. The people here at Apple don't just create products — they create the kind of wonder that's revolutionized entire industries. It's the diversity of those people and their ideas that inspires the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. Join Apple, and help us leave the world better than we found it. Apple's Sales organization generates the revenue needed to fuel our ongoing development of products and services. This in turn, enriches the lives of hundreds of millions of people around th...

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• Machine Learning Engineer - Apple Music

  Logiciels et services21 janv. 2026

  EmplacementSeattle

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  • PartagerMachine Learning Engineer - Apple Music 200627683-3337

  • Numéro du poste :  200627683-3337
  • Heures de travail hebdomadaires : 40 Heures

  The AIML team in Apple Services Engineering is building the future of how millions of users discover, explore, and enjoy music across Apple Music, Siri, Spotlight. Our mission is to help every user find and experience the content they love—effortlessly and personally—by harnessing the potential of Machine Learning, Natural Language Understanding, and Generative AI. As part of the Music Search team, you’ll work at the intersection of machine learning, language understanding, and generative AI, crafting next-generation search and recommendation experiences. Your work will shape how users conn...

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• Technical Lead, Connectivity (Wi-Fi / Bluetooth) Analytics

  Logiciels et services21 janv. 2026

  EmplacementCupertino

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  • PartagerTechnical Lead, Connectivity (Wi-Fi / Bluetooth) Analytics 200642722-0836

  • Numéro du poste :  200642722-0836
  • Heures de travail hebdomadaires : 40 Heures

  Wireless Technologies team is looking for a lead engineer for connectivity (WiFi / BT / Thread) systems analytics team with a passion for statistical analysis with the ultimate goal of improving the connectivity experience for Apple customers. You will work on defining performance metrics, designing analytical data views for WiFi/Bluetooth/Thread software features, analyzing/mining data for future enhancements and communicating product performance. The role of the Systems analytics engineer is to turn data into actionable insights and strategic recommendations.

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• iPad and Input System Engineering Program Manager

  Matériel21 janv. 2026

  EmplacementCupertino

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  • Partager iPad and Input System Engineering Program Manager 200642725-0836

  • Numéro du poste :  200642725-0836
  • Heures de travail hebdomadaires : 40 Heures

  Looking for a System EPM to own and drive new product development in the Input and iPad System team! Be responsible for managing product development from initial product definition through product launch. This is a great opportunity for cross functional leadership and visibility.

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• Software Performance Engineer for Memory

  Logiciels et services21 janv. 2026

  EmplacementCupertino

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  • PartagerSoftware Performance Engineer for Memory 200641545-0836

  • Numéro du poste :  200641545-0836
  • Heures de travail hebdomadaires : 40 Heures

  The OS Performance team is responsible for making your iPhone, iPad, Mac and Apple Watch run smoothly and speedily release after release. Come join us if you're interested in making Apple's products run as quickly and smoothly as possible while learning about a large variety of software components.

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• Compute SRE Software Engineer

  Logiciels et services21 janv. 2026

  EmplacementSeattle

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  • PartagerCompute SRE Software Engineer 200640895-3337

  • Numéro du poste :  200640895-3337
  • Heures de travail hebdomadaires : 40 Heures

  People at Apple don’t just build products — they craft the kind of experience that has revolutionized entire industries. The diverse collection of our people and their ideas inspire innovation in everything we do. Imagine what you could do here! Join Apple, and help us leave the world better than we found it. The Apple Service Engineering(ASE) team builds and provides systems and infrastructure that power Apple’s services (such as iCloud, iTunes, Siri, and Maps). We are the foundation on which Apple’s software developers build the products that our customers love. Our services have to scal...

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• OS Build QE

  Logiciels et services21 janv. 2026

  EmplacementSan Diego

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  • PartagerOS Build QE 200642700-3543

  • Numéro du poste :  200642700-3543
  • Heures de travail 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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• Machine Learning Engineer, International Data Engineering

  Logiciels et services21 janv. 2026

  EmplacementCupertino

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  • PartagerMachine Learning Engineer, International Data Engineering 200641615-0836

  • Numéro du poste :  200641615-0836
  • Heures de travail hebdomadaires : 40 Heures

  The Software Localization & Engineering team powers the tooling, features and processes used to create an exceptional localized experience for Apple’s international customers. We are responsible for the readiness and high quality of Apple features internationally across all of Apple’s products. We are in search of a creative, motivated, and passionate technical leader who has a robust understanding of large language models (LLMs), generative AI, Natural Language Processing (NLP) and Machine Translation (MT). An ideal candidate has the ability to lead diverse cross-functional efforts to bui...

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• Engineering Manager, Cloud Network Reliability

  Logiciels et services20 janv. 2026

  EmplacementSunnyvale

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  • PartagerEngineering Manager, Cloud Network Reliability 200642210-3956

  • Numéro du poste :  200642210-3956
  • Heures de travail hebdomadaires : 40 Heures

  Apple Cloud Networking team builds and operates large-scale, software-defined networking platforms that enable secure, resilient, and highly available multi-cloud connectivity with a global footprint. Our infrastructure powers critical Apple services, including iCloud, iTunes, Siri, and Maps. We are seeking an experienced and visionary Reliability Engineering Manager to lead and grow a team of engineers focused on ensuring the availability, performance, scalability, and resiliency of Apple’s global network services. In this role, you will work closely with software engineering, infrastruct...

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• Software Integrity Engineer

  Logiciels et services20 janv. 2026

  EmplacementSan Diego

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  • PartagerSoftware Integrity Engineer 200642694-3543

  • Numéro du poste :  200642694-3543
  • Heures de travail 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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• System Engineering Program Manager, Apple Watch

  Matériel20 janv. 2026

  EmplacementCupertino

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  • PartagerSystem Engineering Program Manager, Apple Watch 200636136-0836

  • Numéro du poste :  200636136-0836
  • Heures de travail hebdomadaires : 5 Heures

  Apple is looking for a new team member to join as a System Engineering Program Manager. Watch System EPM is responsible leading a broad cross-functional team in developing Watch projects, leveraging a strong technical background to effectively manage and communicate cross-functional issues and risks. This role is providing a unique opportunity to combine deep technical expertise with program management skills and executives exposure.

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• AIML - Machine Learning Researcher, Foundation Models

  Apprentissage machine et intelligence artificielle20 janv. 2026

  EmplacementCupertino

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

  • Numéro du poste :  200641998-0836
  • Heures de travail 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

• AIML - Machine Learning Researcher, Foundation Models

  Apprentissage machine et intelligence artificielle20 janv. 2026

  EmplacementNew York

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

  • Numéro du poste :  200641998-2459
  • Heures de travail 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

• AIML - Machine Learning Researcher, Foundation Models

  Apprentissage machine et intelligence artificielle20 janv. 2026

  EmplacementSeattle

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  • PartagerAIML - Machine Learning Researcher, Foundation Models 200641998-3337

  • Numéro du poste :  200641998-3337
  • Heures de travail 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