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• Senior Machine Learning Engineer

  Apprentissage machine et intelligence artificielle08 oct. 2026

  EmplacementPékin

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  • PartagerSenior Machine Learning Engineer 200687886-0351

  • Numéro du poste :  200687886-0351
  • Heures de travail hebdomadaires : 40 Heures

  oin the Siri team at Apple! Build and contribute to a product and company that is building products, personal devices, and software designed to enrich people's lives. Work on building and advancing the world's most popular intelligent assistant that helps millions of people get things done — just by asking. Global Siri works to bring Siri to the next level of intelligence and capability across all languages and markets. We build machine learning models, systems, and software that understand the intents of hundreds of millions of users and their billions of requests to Siri on Apple devices...

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• Machine Learning Engineer – LLMs, Agent Systems, and Simulation Tooling, Siri Core Modeling

  Apprentissage machine et intelligence artificielle07 oct. 2026

  EmplacementCupertino

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  • PartagerMachine Learning Engineer – LLMs, Agent Systems, and Simulation Tooling, Siri Core Modeling 200687821-0836

  • Numéro du poste :  200687821-0836
  • Heures de travail 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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• Machine Learning Scientist - Apple Services Engineering, GenAI & ML Frameworks

  Apprentissage machine et intelligence artificielle06 oct. 2026

  EmplacementNew York

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  • PartagerMachine Learning Scientist - Apple Services Engineering, GenAI & ML Frameworks 200687461-2459

  • Numéro du poste :  200687461-2459
  • Heures de travail hebdomadaires : 40 Heures

  Apple Services GenAI & ML Frameworks team aims at bridging foundation model capabilities with real-world production systems. The work spans LLM continual pretraining, posttraining, agentic reinforcement learning, agentic system optimization etc.. This role is part of the cross-LOB effort to support various GenAI use cases across ASE, and specializes in improving LLM domain knowledge, tool use, reasoning, and system integration—working closely with product, infra, and foundation model teams to bring cutting-edge models into user-facing features at scale.

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• AIML - Manager, Applied AI Science - LLM/VLM-as-judge

  Apprentissage machine et intelligence artificielle06 oct. 2026

  EmplacementCupertino

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  • PartagerAIML - Manager, Applied AI Science - LLM/VLM-as-judge 200661915-0836

  • Numéro du poste :  200661915-0836
  • Heures de travail hebdomadaires : 40 Heures

  Do you get excited by building and leading a team that redefines how AI products are evaluated? Our Evaluation organization is responsible for providing principled assessments across a diverse range of Apple features, from Search and Siri to the latest Apple Intelligence capabilities. Within this critical function, our team specializes in leveraging advanced AI/ML techniques to enhance both the quality and efficiency of these comprehensive evaluations. We are seeking an experienced and hands-on Manager to lead a team of Applied AI Scientists developing cutting-edge AI/ML models for the aut...

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• AIML - Applied ML Research Scientist - Accessibility, Human Centered Machine Intelligence

  Apprentissage machine et intelligence artificielle05 oct. 2026

  EmplacementSeattle

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  • PartagerAIML - Applied ML Research Scientist - Accessibility, Human Centered Machine Intelligence 200687240-3337

  • Numéro du poste :  200687240-3337
  • Heures de travail 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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• Sr. Machine Learning Engineer, Speech LLM Evaluation

  Apprentissage machine et intelligence artificielle02 oct. 2026

  EmplacementCupertino

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  • PartagerSr. Machine Learning Engineer, Speech LLM Evaluation 200682418-0836

  • Numéro du poste :  200682418-0836
  • Heures de travail 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. Our Speech Evaluation team sits at the center of Apple's ASR, TTS, and real-time conversational AI efforts, partnering directly wi...

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• Sr. Machine Learning Engineer, Speech LLM Evaluation

  Apprentissage machine et intelligence artificielle02 oct. 2026

  EmplacementCambridge

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  • PartagerSr. Machine Learning Engineer, Speech LLM Evaluation 200682418-1242

  • Numéro du poste :  200682418-1242
  • Heures de travail 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. Our Speech Evaluation team sits at the center of Apple's ASR, TTS, and real-time conversational AI efforts, partnering directly wi...

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• AIML - Sr Software Engineer - AI, Evaluation

  Apprentissage machine et intelligence artificielle01 oct. 2026

  EmplacementCupertino

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  • PartagerAIML - Sr Software Engineer - AI, Evaluation 200686891-0836

  • Numéro du poste :  200686891-0836
  • Heures de travail hebdomadaires : 40 Heures

  Do you want to help build the next generation of Apple AI products? Our Evaluation organization measures quality across Apple Intelligence, Siri, and newest generative features, and our measurements directly inform launch decisions. Our team builds the platforms behind it: LLM-as-judge autograders, tools to validate them against human judgment, and systems that run them at scale. We are looking for a senior engineer to own a critical part of that platform and take it to the next level.

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• Machine Learning Engineer - AI, Search & Knowledge Platform

  Apprentissage machine et intelligence artificielle30 sept. 2026

  EmplacementPékin

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  • PartagerMachine Learning Engineer - AI, Search & Knowledge Platform 200686264-0351

  • Numéro du poste :  200686264-0351
  • Heures de travail 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 machine et intelligence artificielle30 sept. 2026

  EmplacementShanghai

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  • PartagerMachine Learning Engineer - AI, Search & Knowledge Platform 200686264-3715

  • Numéro du poste :  200686264-3715
  • Heures de travail 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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• Senior Machine Learning Engineer, NLP, Input Experience

  Apprentissage machine et intelligence artificielle27 sept. 2026

  EmplacementCupertino

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  • PartagerSenior Machine Learning Engineer, NLP, Input Experience 200651071-0836

  • Numéro du poste :  200651071-0836
  • Heures de travail hebdomadaires : 40 Heures

  Our team’s mission is to enhance ML powered user experiences on all Apple platforms through personalized multimodal input, composition, and understanding, with a global perspective. We achieve this daily by collaborating at the intersection of natural language processing, machine learning, and software engineering. We are responsible for the machine learning and software (non-UI) development for several user-facing Apple Intelligence features, including Writing Tools, Summarization, Found In Apps, and Messages/Mail Smart Replies. Additionally, we oversee the keyboard machine learning and ...

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• AIML Data Operations - Site Project Representative

  Apprentissage machine et intelligence artificielle25 sept. 2026

  EmplacementSingapour

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  • PartagerAIML Data Operations - Site Project Representative 200675940-3278

  • Numéro du poste :  200675940-3278
  • Heures de travail hebdomadaires : 40 Heures

  Imagine what you could do here. At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. The people here at Apple don’t just craft products - they build the kind of wonder thatʼs 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. AIML Data Operations is a fast paced, dynamic environment. Our team directly...

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• AIML - Data Scientist, Evaluation

  Apprentissage machine et intelligence artificielle24 sept. 2026

  EmplacementCupertino

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  • PartagerAIML - Data Scientist, Evaluation 200685687-0836

  • Numéro du poste :  200685687-0836
  • Heures de travail 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. As part of our online metrics and insights team, we are looking for a Sr Data Scientist to contribute to product understanding and development of Apple features. This role involves using analytical and engineering methods augmented by LLMs and python to develop conceptual and analytical models...

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• Senior Software Engineer

  Apprentissage machine et intelligence artificielle23 sept. 2026

  EmplacementCupertino

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  • PartagerSenior Software Engineer 200672806-0836

  • Numéro du poste :  200672806-0836
  • Heures de travail hebdomadaires : 40 Heures

  As part of the Siri organization, you will build the systems and tooling that make evaluation a first-class part of how Siri is developed — not an after-the-fact check — spanning human evaluation, real user feedback, reward and alignment signals, and data science rigor across iOS, iPadOS, macOS, watchOS, and visionOS. This is a rare opportunity to work at the intersection of software engineering and rigorous evaluation science — applying machine learning engineering techniques, from model evaluation to reward modeling, to build the infrastructure that keeps this quality signal trustworthy....

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• Senior Machine Learning Engineer, Natural Language Generation

  Apprentissage machine et intelligence artificielle17 sept. 2026

  EmplacementSeattle

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  • PartagerSenior Machine Learning Engineer, Natural Language Generation 200683336-3337

  • Numéro du poste :  200683336-3337
  • Heures de travail hebdomadaires : 40 Heures

  From our origins in iPhone keyboard input, the Input Experience NLP team has expanded to a broad charter: improve the user experience with robust language understanding and personalized text composition, across languages and Apple platforms. We build the ML models that underlie Summarization, Smart Reply, Writing Tools, and other features deeply integrated into Apple products. Generative AI is a transformative technology that we have only just begun to incorporate into our digital lives, to help everyday people digest the deluge of information they receive and express themselves more clearl...

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• Sr. Software Development Engineer In Test - Siri AI Quality

  Apprentissage machine et intelligence artificielle17 sept. 2026

  EmplacementCupertino

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  • PartagerSr. Software Development Engineer In Test - Siri AI Quality 200684226-0836

  • Numéro du poste :  200684226-0836
  • 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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• Sr. Machine Learning Engineer, Siri Speech

  Apprentissage machine et intelligence artificielle17 sept. 2026

  EmplacementCupertino

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  • PartagerSr. Machine Learning Engineer, Siri Speech 200641206-0836

  • Numéro du poste :  200641206-0836
  • Heures de travail 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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• Language Engineer (Dutch), Global Siri

  Apprentissage machine et intelligence artificielle16 sept. 2026

  EmplacementBarcelone

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  • PartagerLanguage Engineer (Dutch), Global Siri 200683790-0215

  • Numéro du poste :  200683790-0215
  • Heures de travail hebdomadaires : 40 Heures

  Play a part in the next revolution of machine learning technology! Siri assists hundreds of millions of people, in dozens of languages, every day, and Global Siri is the team that teaches Siri each one of them. We own the product end-to-end, from Speech Recognition and Natural Language Understanding through to Response. We are looking for an engineer with deep expertise in either Machine Learning or Software Engineering, and practical working knowledge of the other, to shape the future of Siri for Dutch (nl_NL and nl_BE) users. Your work will range across multiple disciplines, including e...

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• Language Engineer (Spanish), Global Siri

  Apprentissage machine et intelligence artificielle16 sept. 2026

  EmplacementBarcelone

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  • PartagerLanguage Engineer (Spanish), Global Siri 200683757-0215

  • Numéro du poste :  200683757-0215
  • Heures de travail hebdomadaires : 40 Heures

  Play a part in the next revolution of machine learning technology! Siri assists hundreds of millions of people, in dozens of languages, every day, and Global Siri is the team that teaches Siri each one of them. We own the product end-to-end, from Speech Recognition and Natural Language Understanding through to Response. We are looking for an engineer with deep expertise in either Machine Learning or Software Engineering, and practical working knowledge of the other, to shape the future of Siri for Spanish users. Your work will range across multiple disciplines, including employing advance...

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• Language Engineer (English UK), Global Siri

  Apprentissage machine et intelligence artificielle16 sept. 2026

  EmplacementBarcelone

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  • PartagerLanguage Engineer (English UK), Global Siri 200683796-0215

  • Numéro du poste :  200683796-0215
  • Heures de travail hebdomadaires : 40 Heures

  Play a part in the next revolution of machine learning technology! Siri assists hundreds of millions of people, in dozens of languages, every day, and Global Siri is the team that teaches Siri each one of them. We own the product end-to-end, from Speech Recognition and Natural Language Understanding through to Response. We are looking for an engineer with deep expertise in either Machine Learning or Software Engineering, and practical working knowledge of the other, to shape the future of Siri for English users. Your work will range across multiple disciplines, including employing advance...

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