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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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• Sr. Software Development Engineer - Data, Siri Speech

  Apprentissage machine et intelligence artificielle12 mars 2026

  EmplacementCambridge

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  • PartagerSr. Software Development Engineer - Data, Siri Speech 200651524-1242

  • Numéro du poste :  200651524-1242
  • Heures de travail hebdomadaires : 40 Heures

  Want to join the team pushing the boundaries of AI and building an intelligent assistant that helps millions of people get things done? Join the Siri team at Apple. To build the best speech recognition and generation models, we need to use the latest technology in distributed training and the best available data. We combine those needs into one team and are focused on blurring the lines between traditional “data processing” and “model training”. Efficiently training on petabytes of audio data pushes us to consider the entire training stack while developing new models to extract useful signa...

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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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• Machine Learning Research Engineer, Text Generation

  Apprentissage machine et intelligence artificielle12 mars 2026

  EmplacementCupertino

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  • PartagerMachine Learning Research Engineer, Text Generation 200620689-0836

  • Numéro du poste :  200620689-0836
  • 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 or service we create, we deliver is the result of us making each other’s ideas stronger. 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 more than join something — you’ll add something. Text generation is a key enabler for accelerated text input and intelligent interaction on Apple platforms. Our team is worki...

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• Software Engineer, Mail Intelligence

  Apprentissage machine et intelligence artificielle11 mars 2026

  EmplacementSan Diego

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  • PartagerSoftware Engineer, Mail Intelligence 200651143-3543

  • Numéro du poste :  200651143-3543
  • Heures de travail hebdomadaires : 40 Heures

  Imagine shaping the future of email with intelligent features that transform how users interact with Mail on iOS, iPadOS, macOS, and visionOS. As a Mail Intelligence Software Engineer, you will play a key role in integrating advanced machine learning and AI capabilities into the Mail app, enabling smarter experiences for millions of users. Your work will focus on leveraging machine learning models to enhance features such as Search, Categorization, Summarization, and Composition. If you're passionate about backend client engineering, machine learning, and delivering innovative products, thi...

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• Proactive Intelligence, Applied Research Scientist — Agentic Systems and Generative Modeling

  Apprentissage machine et intelligence artificielle11 mars 2026

  EmplacementCupertino

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  • PartagerProactive Intelligence, Applied Research Scientist — Agentic Systems and Generative Modeling 200651116-0836

  • Numéro du poste :  200651116-0836
  • Heures de travail hebdomadaires : 40 Heures

  AI represents a big opportunity to elevate Apple’s products and experiences for billions of people globally. We are looking for Applied Research Scientists with a background and interest in Agentic Systems. You will be leveraging state-of-the-art Generative models to ship extraordinary products, services, and customer experiences for the iPhone, Mac, Apple Watch, iPad and more. The mission of Proactive Intelligence is to improve Apple platforms by better understanding, anticipating and adapting to user behavior by using machine learning to build phenomenal features that are built right into...

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• Machine Learning Engineer, Siri Core Modeling

  Apprentissage machine et intelligence artificielle10 mars 2026

  EmplacementCupertino

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  • PartagerMachine Learning Engineer, Siri Core Modeling 200646481-0836

  • Numéro du poste :  200646481-0836
  • Heures de travail hebdomadaires : 40 Heures

  The Siri team is creating groundbreaking technology for large scale systems, spoken language, machine learning, and LLMs to enable better conversational experience with Siri. The features we create are redefining how hundreds of millions of people use their computers and mobile devices to fulfill their requirements and find what they are looking for. As part of the Siri team, you will work with the talent dense team who crafted the intelligent assistant that helps users get things done — just by asking.

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• AIML - Annotation Team Lead

  Apprentissage machine et intelligence artificielle10 mars 2026

  EmplacementAustin

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  • PartagerAIML - Annotation Team Lead 200641726-0157

  • Numéro du poste :  200641726-0157
  • Heures de travail 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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• 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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• AIML - Sr Machine Learning Engineer, Data and ML Innovation

  Apprentissage machine et intelligence artificielle06 mars 2026

  EmplacementSeattle

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  • PartagerAIML - Sr Machine Learning Engineer, Data and ML Innovation 200624190-3337

  • Numéro du poste :  200624190-3337
  • Heures de travail hebdomadaires : 40 Heures

  Are you excited to tackle some of the most ambitious technical challenges in Apple Intelligence? Be involved in collaborating closely with our machine learning researchers, engineers, and data scientists? Together, you will orchestrate groundbreaking research initiatives and develop transformative products designed to build a significant impact for billions of users worldwide! As part of Apple’s AI and Machine Learning org, we encourage and create groundbreaking technology for large-scale ML systems, computer vision, natural language processing, and multi-modal understanding and generat...

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• Staff Machine Learning Engineer : Platform Intelligence - Apple Maps

  Apprentissage machine et intelligence artificielle05 mars 2026

  EmplacementCupertino

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  • PartagerStaff Machine Learning Engineer : Platform Intelligence - Apple Maps 200649663-0836

  • Numéro du poste :  200649663-0836
  • Heures de travail hebdomadaires : 40 Heures

  Apple Maps and the thousands of applications it empowers are being used by millions every single day! As a fundamental tool for human activity, Maps technology is evolving and new techniques are emerging. We are looking for a Staff Machine Learning Engineer to drive the design, development, and deployment of machine learning models optimized for on-device training and inference. You will partner with a variety of subject experts across the company to build intelligent features and personalized maps experiences. This role involves collaborating with various partners, from engineers to desig...

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• Sr Software Engineer, Mail Intelligence

  Apprentissage machine et intelligence artificielle28 févr. 2026

  EmplacementDivers emplacements Région de la baie de San Francisco

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  • PartagerSr Software Engineer, Mail Intelligence 200649225-3401

  • Numéro du poste :  200649225-3401
  • Heures de travail hebdomadaires : 40 Heures

  Imagine shaping the future of email with intelligent features that transform how users interact with Mail on iOS, iPadOS, macOS, and visionOS. As a Mail Intelligence Software Engineer, you will play a key role in integrating advanced machine learning and AI capabilities into the Mail app, enabling smarter experiences for millions of users. Your work will focus on leveraging machine learning models to enhance features such as Search, Categorization, Summarization, and Composition. If you're passionate about backend client engineering, machine learning, and delivering innovative products, thi...

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• Machine Learning Research Scientist | Engineer - Special Projects

  Apprentissage machine et intelligence artificielle26 févr. 2026

  EmplacementSanta Clara

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  • PartagerMachine Learning Research Scientist | Engineer - Special Projects 200648864-3760

  • Numéro du poste :  200648864-3760
  • Heures de travail hebdomadaires : 40 Heures

  We are seeking research scientists and engineers with a strong background in machine learning and robotics to drive breakthrough innovations in intelligent systems. This position requires a hands-on approach, integrating software and hardware solutions to push the boundaries of perception, control, and intelligence. You will work alongside world-class researchers and engineers, contributing to technologies that power the Apple ecosystem and publishing in top-tier scientific venues.

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• Staff Generative AI Research Engineer, Multimodal, Agent Modeling - SIML

  Apprentissage machine et intelligence artificielle26 févr. 2026

  EmplacementCupertino

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  • PartagerStaff Generative AI Research Engineer, Multimodal, Agent Modeling - SIML 200648855-0836

  • Numéro du poste :  200648855-0836
  • Heures de travail hebdomadaires : 40 Heures

  Are you passionate about Generative AI? Are you interested in working on cutting edge generative modeling technologies to enrich billions of people? We are driving multiple initiatives focused on advancing generative models, and we are seeking technical leaders experienced in training, adapting and deploying large-scale generative models. This role emphasizes multimodal understanding and generation, and the development of agentic systems that push the boundaries of what AI can achieve responsibly. We are the Intelligence System Experience (ISE) team within Apple’s software organization. Th...

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• Generative AI Research Engineer, Multimodal, Agent Modeling - SIML

  Apprentissage machine et intelligence artificielle25 févr. 2026

  EmplacementCupertino

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  • PartagerGenerative AI Research Engineer, Multimodal, Agent Modeling - SIML 200629654-0836

  • Numéro du poste :  200629654-0836
  • Heures de travail hebdomadaires : 40 Heures

  Are you passionate about Generative AI? Are you interested in working on groundbreaking generative modeling technologies to enrich billions of people? We are driving multiple initiatives focused on advancing generative models, and we are seeking candidates experienced in training, adapting and deploying large-scale generative models. This role emphasizes AI safety, multimodal understanding and generation, and the development of agentic systems that push the boundaries of what AI can achieve responsibly. We are the Intelligence System Experience (ISE) team within Apple’s software organizati...

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