Trouvez le rôle idéal.

Résultats de la recherche

109 résultat(s)

Trier par : Plus récents

• TBD

  Apprentissage automatique et intelligence artificielle17 juil. 2026

  LieuCupertino

  Actions

  
  • Voir la description complète du rôle
  • PartagerTBD 200665843-0836

  • Numéro de rôle :  200665843-0836
  • Heures hebdomadaires : 40 Heures

  TBD

  Envoyer un CV

• Engineering Manager, Machine Learning & NLP, Input Experience

  Apprentissage automatique et intelligence artificielle16 juil. 2026

  LieuCupertino

  Actions

  
  • Voir la description complète du rôle
  • PartagerEngineering Manager, Machine Learning & NLP, Input Experience 200671833-0836

  • Numéro de rôle :  200671833-0836
  • Heures hebdomadaires : 40 Heures

  From our origins in iPhone keyboard input, the Input Experience NLP team has expanded our broad charter: enhancing the user experience with robust language understanding and personalized text composition, across all Apple platforms and languages. Generative AI is a transformative technology, and we are just beginning to harness its potential to help users digest information and express themselves more clearly. On our team, you will help build the future and shape its evolution. Our team is responsible for key Apple Intelligence portfolios such as personalized Writing Tools, Summarization (M...

  Envoyer un CV

• Machine Learning Research Engineer, Machine Translation

  Apprentissage automatique et intelligence artificielle16 juil. 2026

  LieuAachen

  Actions

  
  • Voir la description complète du rôle
  • PartagerMachine Learning Research Engineer, Machine Translation 200641435-5487

  • Numéro de rôle :  200641435-5487
  • Heures hebdomadaires : 40 Heures

  The Apple Machine Translation team is seeking exceptional researchers and scientists to contribute to the development of the next generation of core machine translation (MT) technology and large language model (LLM) technologies. Our mission is to empower our users to communicate seamlessly across language barriers and execute multilingual tasks with ease. If you are passionate about natural language processing, language modeling (LLMs), and machine translation, we invite you to join our team and collaborate on creating the most advanced multilingual solution across the Apple ecosystem.

  Envoyer un CV

• Machine Learning Engineer, Natural Language Understanding, Proactive

  Apprentissage automatique et intelligence artificielle15 juil. 2026

  LieuSanta Clara

  Actions

  
  • Voir la description complète du rôle
  • PartagerMachine Learning Engineer, Natural Language Understanding, Proactive 200672639-3760

  • Numéro de rôle :  200672639-3760
  • Heures hebdomadaires : 40 Heures

  Apple's On-Device Query Understanding team is building the next generation of personalized, intelligent search. You will research and develop novel approaches in query understanding and machine learning modeling creating the technology that enables seamless search and assistant experiences across Apple products. This is a role for someone passionate about applying machine learning and generative AI to meaningful, large-scale challenges, where your work will directly shape how millions of people interact with Apple products every day.

  Envoyer un CV

• Machine Learning Engineer, ASE Search Team

  Apprentissage automatique et intelligence artificielle15 juil. 2026

  LieuSeattle

  Actions

  
  • Voir la description complète du rôle
  • PartagerMachine Learning Engineer, ASE Search Team 200672184-3337

  • Numéro de rôle :  200672184-3337
  • Heures hebdomadaires : 40 Heures

  The Apple Services Engineering AI/ML organization is hiring a Machine Learning Engineer to join the Search team for Video catalog. Our team builds the core intelligence that powers search discovery experiences in the Apple TV App, Siri, and Spotlight cross platforms, helping users effortlessly find and enjoy the content they love. We are a collaborative, high-impact team that values innovation, craftsmanship, and end-to-end ownership from idea to launch. Our systems combine large-scale data, modern retrieval and ranking models, and a deep commitment to user privacy. Join us, you’ll develo...

  Envoyer un CV

• Siri AI Software Engineer, Siri Core

  Apprentissage automatique et intelligence artificielle14 juil. 2026

  LieuCupertino

  Actions

  
  • Voir la description complète du rôle
  • PartagerSiri AI Software Engineer, Siri Core 200672224-0836

  • Numéro de rôle :  200672224-0836
  • Heures hebdomadaires : 40 Heures

  Join the Siri Runtime Platform team and help redefine 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. We are engineers, scientists, and problem solvers working to bring smarter, faster, and more natural interactions to millions of users worldwide. As a Software Engineer on our team, you will build the on-devic...

  Envoyer un CV

• Staff / Sr. Machine Learning Engineer, AI, Search & Knowledge Platforms

  Apprentissage automatique et intelligence artificielle14 juil. 2026

  LieuSeattle

  Actions

  
  • Voir la description complète du rôle
  • PartagerStaff / Sr. Machine Learning Engineer, AI, Search & Knowledge Platforms 200672425-3337

  • Numéro de rôle :  200672425-3337
  • Heures hebdomadaires : 40 Heures

  Imagine what you could do here. At Apple, great ideas quickly become extraordinary products, services, and customer experiences. Bring passion and dedication to your work, and there’s no telling what you could accomplish. Do you want to make Siri and Apple products smarter for our users? The Information Intelligence teams are building groundbreaking technology for algorithmic search, machine learning, natural language processing, and artificial intelligence. The features we build are redefining how hundreds of millions of people use their computers and mobile devices to search and find wha...

  Envoyer un CV

• Staff / Sr. Machine Learning Engineer, AI, Search & Knowledge Platforms

  Apprentissage automatique et intelligence artificielle14 juil. 2026

  LieuMétropole de San Francisco : plusieurs lieux

  Actions

  
  • Voir la description complète du rôle
  • PartagerStaff / Sr. Machine Learning Engineer, AI, Search & Knowledge Platforms 200672425-3401

  • Numéro de rôle :  200672425-3401
  • Heures hebdomadaires : 40 Heures

  Imagine what you could do here. At Apple, great ideas quickly become extraordinary products, services, and customer experiences. Bring passion and dedication to your work, and there’s no telling what you could accomplish. Do you want to make Siri and Apple products smarter for our users? The Information Intelligence teams are building groundbreaking technology for algorithmic search, machine learning, natural language processing, and artificial intelligence. The features we build are redefining how hundreds of millions of people use their computers and mobile devices to search and find wha...

  Envoyer un CV

• Principal Research Scientist, Siri Innovation Studio

  Apprentissage automatique et intelligence artificielle13 juil. 2026

  LieuCupertino

  Actions

  
  • Voir la description complète du rôle
  • PartagerPrincipal Research Scientist, Siri Innovation Studio 200667331-0836

  • Numéro de rôle :  200667331-0836
  • 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 c...

  Envoyer un CV

• Principal Research Scientist, Siri Innovation Studio

  Apprentissage automatique et intelligence artificielle13 juil. 2026

  LieuSeattle

  Actions

  
  • Voir la description complète du rôle
  • PartagerPrincipal Research Scientist, Siri Innovation Studio 200667331-3337

  • Numéro de rôle :  200667331-3337
  • 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 c...

  Envoyer un CV

• AIML - Machine Learning Researcher, MLR

  Apprentissage automatique et intelligence artificielle13 juil. 2026

  LieuSeattle

  Actions

  
  • Voir la description complète du rôle
  • PartagerAIML - Machine Learning Researcher, MLR 200672254-3337

  • Numéro de rôle :  200672254-3337
  • Heures hebdomadaires : 40 Heures

  Play a part in building the next revolution of machine learning technology. We're looking for passionate mid-level and senior researchers to work on ambitious curiosity-driven long-term research projects that will impact the future of Apple, and our products. In this role, you'll have the opportunity to work on innovative foundational research in machine learning. As a member of the team, you will be inspired by a diversity of challenging problems, collaborate with world-class machine learning engineers and researchers to impact the future of Apple products, and publish some of your result...

  Envoyer un CV

• AIML - Machine Learning Researcher, MLR

  Apprentissage automatique et intelligence artificielle13 juil. 2026

  LieuSan Francisco

  Actions

  
  • Voir la description complète du rôle
  • PartagerAIML - Machine Learning Researcher, MLR 200648593-3577

  • Numéro de rôle :  200648593-3577
  • Heures hebdomadaires : 40 Heures

  Play a part in building the next revolution of machine learning technology. We're looking for passionate mid-level and senior researchers to work on ambitious curiosity-driven long-term research projects that will impact the future of Apple, and our products. In this role, you'll have the opportunity to work on innovative foundational research in machine learning. As a member of the team, you will be inspired by a diversity of challenging problems, collaborate with world-class machine learning engineers and researchers to impact the future of Apple products, and publish some of your result...

  Envoyer un CV

• AIML - Machine Learning Researcher, MLR

  Apprentissage automatique et intelligence artificielle13 juil. 2026

  LieuCupertino

  Actions

  
  • Voir la description complète du rôle
  • PartagerAIML - Machine Learning Researcher, MLR 200648593-0836

  • Numéro de rôle :  200648593-0836
  • Heures hebdomadaires : 40 Heures

  Play a part in building the next revolution of machine learning technology. We're looking for passionate mid-level and senior researchers to work on ambitious curiosity-driven long-term research projects that will impact the future of Apple, and our products. In this role, you'll have the opportunity to work on innovative foundational research in machine learning. As a member of the team, you will be inspired by a diversity of challenging problems, collaborate with world-class machine learning engineers and researchers to impact the future of Apple products, and publish some of your result...

  Envoyer un CV

• ML Software Engineering Manager - Apple Music

  Apprentissage automatique et intelligence artificielle10 juil. 2026

  LieuCupertino

  Actions

  
  • Voir la description complète du rôle
  • PartagerML Software Engineering Manager - Apple Music 200671796-0836

  • Numéro de rôle :  200671796-0836
  • Heures 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 work you do here has the potential to reach hundreds of millions of people, and nowhere is that more true than Apple Music, where technology and artistry meet to connect listeners with the music they love. The Apple Music ML team is looking for an ML Software Engineering Manager to lead a team at the forefront of music recommendation and personalization. This is a rare opportunity to shape how tens of millions of people discover music every...

  Envoyer un CV

• Staff Machine Learning Engineer - Platform Intelligence - Apple Maps

  Apprentissage automatique et intelligence artificielle09 juil. 2026

  LieuCupertino

  Actions

  
  • Voir la description complète du rôle
  • PartagerStaff Machine Learning Engineer - Platform Intelligence - Apple Maps 200649663-0836

  • Numéro de rôle :  200649663-0836
  • Heures 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...

  Envoyer un CV

• International Engineering Lead - Intelligence Features

  Apprentissage automatique et intelligence artificielle07 juil. 2026

  LieuCupertino

  Actions

  
  • Voir la description complète du rôle
  • PartagerInternational Engineering Lead - Intelligence Features 200671391-0836

  • Numéro de rôle :  200671391-0836
  • Heures hebdomadaires : 40 Heures

  The International Intelligence Engineering team powers the tooling, features and processes used to create an exceptional international experience across Apple’s intelligence features for 100s of millions of our global customers and devices. We are looking for an experienced, motivated, technical and passionate international ML engineering leader who will drive, coordinate and deliver the next generation of end-user intelligence features for international locales across multiple platforms (iOS, macOS, watchOS, etc). This person will be a creative, motivated, technical leader with excellent...

  Envoyer un CV

• Senior Machine Learning Engineer, Personal Search Intelligence - Proactive

  Apprentissage automatique et intelligence artificielle06 juil. 2026

  LieuCupertino

  Actions

  
  • Voir la description complète du rôle
  • PartagerSenior Machine Learning Engineer, Personal Search Intelligence - Proactive 200670539-0836

  • Numéro de rôle :  200670539-0836
  • Heures hebdomadaires : 40 Heures

  Do you believe that intelligent search can fundamentally change how people interact with their devices? Are you excited by the possibility of helping users effortlessly find and connect with their personal information? Come join the team within Apple's Proactive Organization that is building the next generation of Personal Search Intelligence.

  Envoyer un CV

• Machine Learning Manager, Data for Foundation Models - SIML

  Apprentissage automatique et intelligence artificielle06 juil. 2026

  LieuCupertino

  Actions

  
  • Voir la description complète du rôle
  • 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...

  Envoyer un CV

• Senior Machine Learning Engineer Search Capabilities, Proactive

  Apprentissage automatique et intelligence artificielle02 juil. 2026

  LieuSanta Clara

  Actions

  
  • Voir la description complète du rôle
  • PartagerSenior Machine Learning Engineer Search Capabilities, Proactive 200670397-3760

  • Numéro de rôle :  200670397-3760
  • Heures hebdomadaires : 40 Heures

  The Siri team is redefining how hundreds of millions of people access information across Apple devices — with privacy built in from the ground up. As part of the Applied ML team, you will advance Apple Intelligence through agentic search, result ranking, and low-latency production services that power experiences across Siri, Spotlight, Safari, Messages, and more. Our team researches and builds deep search systems for Personal Question Answering — enabling Siri to answer questions about a user's emails, messages, events, files, and more, while keeping personal data private.

  Envoyer un CV

• AI/ML Evaluation Specialist, Human Data

  Apprentissage automatique et intelligence artificielle02 juil. 2026

  LieuCupertino

  Actions

  
  • Voir la description complète du rôle
  • PartagerAI/ML Evaluation Specialist, Human Data 200670744-0836

  • Numéro de rôle :  200670744-0836
  • Heures hebdomadaires : 40 Heures

  At Apple, we don’t just build products — we build experiences fueled by world-class data. The Human-centered AI team within Apple Services Engineering is looking for an ML Evaluation Specialist, Human Data to join our Data Quality and Operations division to spearhead complex, multi-stakeholder operations that specialize in data collection, curation, annotation, and human evaluation efforts across Apple Music, App Store, TV+, Podcasts, and Books.

  Envoyer un CV