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• Machine Learning Manager - AI, Search & Knowledge Platforms

  Apprentissage automatique et intelligence artificielle17 juin 2026

  LieuPékin

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  • PartagerMachine Learning Manager - AI, Search & Knowledge Platforms 200666936-0351

  • Numéro de rôle :  200666936-0351
  • Heures 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 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. The AI, Search & Knowledge Platforms team builds amazing products and services for Apple's cust...

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• AIML - Data Scientist, Responsible AI, Product Insights

  Apprentissage automatique et intelligence artificielle16 juin 2026

  LieuCupertino

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  • PartagerAIML - Data Scientist, Responsible AI, Product Insights 200668695-0836

  • Numéro de rôle :  200668695-0836
  • Heures hebdomadaires : 40 Heures

  Help shape the next generation of generative AI at Apple. We're hiring data scientists to work on ambitious projects that will influence the future of Apple, our products, and the people who use them every day. In this role, you'll apply product data science to the safety of Apple Intelligence — features like Siri, Image Playground and Genmoji, Writing Tools, Photos Clean Up, and many more on the way. As part of Apple's Responsible AI Team, you'll support generative AI features from early development through production, holding the line on quality, safety, fairness, inclusion, and user pri...

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• Machine Learning Research Engineer, Input Experience, Apple Intelligence

  Apprentissage automatique et intelligence artificielle16 juin 2026

  LieuCupertino

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  • PartagerMachine Learning Research Engineer, Input Experience, Apple Intelligence 200668701-0836

  • Numéro de rôle :  200668701-0836
  • Heures 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 Research Engineer, Siri Speech

  Apprentissage automatique et intelligence artificielle16 juin 2026

  LieuCupertino

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  • PartagerSr. Machine Learning Research Engineer, Siri Speech 200648466-0836

  • Numéro de rôle :  200648466-0836
  • Heures hebdomadaires : 40 Heures

  The Siri Speech team is looking for an exceptional Machine Learning Research Engineer to create ML algorithms for Siri, Dictation, and third-party APIs running efficiently on Apple Hardware. You will help productize modern deep learning techniques running on custom Apple hardware and Private Compute Cloud, and create cutting edge products that pushes the envelope on Machine Learning for Speech Recognition, Speech Synthesis and Conversational aspects for various products.

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• AIML - Data Scientist, Evaluation

  Apprentissage automatique et intelligence artificielle16 juin 2026

  LieuSeattle

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  • PartagerAIML - Data Scientist, Evaluation 200668520-3337

  • Numéro de rôle :  200668520-3337
  • Heures hebdomadaires : 40 Heures

  Do you get excited by driving product impact via measurement and evaluation, for products and services used by hundreds of millions of people globally? Within the evaluation organization, the mission of Data Science and Insights team is to guide product development, decisions and directions through principled evaluation and rigorous use of data.   You will partner with various engineering teams to improve search quality and guide feature development with data, to deliver amazing search experiences across iPhone, iPad, HomePod, Mac, Watch, tv, across dozens of languages.

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• Strategic Partnerships Lead, Corporate Development

  Apprentissage automatique et intelligence artificielle13 juin 2026

  LieuCupertino

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  • PartagerStrategic Partnerships Lead, Corporate Development 200646043-0836

  • Numéro de rôle :  200646043-0836
  • Heures hebdomadaires : 40 Heures

  Apple’s Corporate Development team is seeking a visionary business development leader to drive high-impact strategic partnerships and accelerate innovation. This role will manage select, high-profile external relationships while partnering closely with cross-functional teams across Apple, including engineering, product, and operations. The successful candidate will influence Apple’s long-term strategy by driving transformative partnerships and collaborations, providing actionable insights to senior leadership. We thrive on bold thinking, embrace complexity, and value individuals who bring ...

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• AIML - Machine Learning Engineer, Foundation Models

  Apprentissage automatique et intelligence artificielle12 juin 2026

  LieuNew York

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  • PartagerAIML - Machine Learning Engineer, Foundation Models 200633262-2459

  • Numéro de rôle :  200633262-2459
  • Heures hebdomadaires : 40 Heures

  We build frontier foundation models that power intelligent experiences at Apple. Our team works across the full training lifecycle: including pre-training foundation models, and developing mid-training approaches that bridge general capability and task-specific performance. What makes our work distinct is that we're engineering models specifically for Apple silicon and optimized for experiences that are private, personal, and deeply integrated into the OS. We're solving frontier problems in reward modeling to resist reward hacking, handling sparse and delayed rewards in agentic settings, an...

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• AIML - Machine Learning Engineer, Foundation Models

  Apprentissage automatique et intelligence artificielle12 juin 2026

  LieuSeattle

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  • PartagerAIML - Machine Learning Engineer, Foundation Models 200633262-3337

  • Numéro de rôle :  200633262-3337
  • Heures hebdomadaires : 40 Heures

  We build frontier foundation models that power intelligent experiences at Apple. Our team works across the full training lifecycle: including pre-training foundation models, and developing mid-training approaches that bridge general capability and task-specific performance. What makes our work distinct is that we're engineering models specifically for Apple silicon and optimized for experiences that are private, personal, and deeply integrated into the OS. We're solving frontier problems in reward modeling to resist reward hacking, handling sparse and delayed rewards in agentic settings, an...

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• AIML - Machine Learning Engineer, Foundation Models

  Apprentissage automatique et intelligence artificielle12 juin 2026

  LieuCupertino

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  • PartagerAIML - Machine Learning Engineer, Foundation Models 200633262-0836

  • Numéro de rôle :  200633262-0836
  • Heures hebdomadaires : 40 Heures

  We build frontier foundation models that power intelligent experiences at Apple. Our team works across the full training lifecycle: including pre-training foundation models, and developing mid-training approaches that bridge general capability and task-specific performance. What makes our work distinct is that we're engineering models specifically for Apple silicon and optimized for experiences that are private, personal, and deeply integrated into the OS. We're solving frontier problems in reward modeling to resist reward hacking, handling sparse and delayed rewards in agentic settings, an...

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• Machine Learning Engineer - Large Language Models & Generative AI Inference

  Apprentissage automatique et intelligence artificielle12 juin 2026

  LieuCupertino

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  • PartagerMachine Learning Engineer - Large Language Models & Generative AI Inference 200667252-0836

  • Numéro de rôle :  200667252-0836
  • Heures hebdomadaires : 40 Heures

  The Intelligence Platform team empowers clients across Apple’s operating systems with a high quality user-centric search and data platform, and the primary inference platform that enable next generation user experiences for Apple Intelligence. We are in search of an accomplished and driven Machine Learning Engineer who has a robust understanding of Large Language Models, Generative AI and high-performance systems computing. Your primary role will involve working with our cross-functional teams that build foundation models, as well as our client teams that want to run inference using these m...

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• Senior Machine Learning Engineer, Proactive - Apple Intelligence Data Platform

  Apprentissage automatique et intelligence artificielle11 juin 2026

  LieuSeattle

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  • PartagerSenior Machine Learning Engineer, Proactive - Apple Intelligence Data Platform 200625093-3337

  • Numéro de rôle :  200625093-3337
  • Heures hebdomadaires : 40 Heures

  Are you excited about building innovative generative AI experiences that empower millions of users daily? Do you thrive in collaborative environments and enjoy applying your machine learning expertise to real-world user experiences? If so, we’d love to hear from you. We’re looking for a Senior Machine Learning Engineer to join the Apple Intelligence Data Platform team. This team powers key intelligence features across Apple’s ecosystem — including Siri Suggestions, the Shortcuts app, and more — by building scalable, privacy-conscious ML systems! Our team is responsible for the Research, D...

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• Principal Applied Research Engineer/Scientist

  Apprentissage automatique et intelligence artificielle11 juin 2026

  LieuCupertino

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  • PartagerPrincipal Applied Research Engineer/Scientist 200651756-0836

  • Numéro de rôle :  200651756-0836
  • Heures 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 Engineer, Siri Speech

  Apprentissage automatique et intelligence artificielle11 juin 2026

  LieuCupertino

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  • PartagerSr. Software Engineer, Siri Speech 200667547-0836

  • Numéro de rôle :  200667547-0836
  • Heures 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 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. Come join us and do your best ...

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• Machine Learning Engineer, ASE Search Team

  Apprentissage automatique et intelligence artificielle11 juin 2026

  LieuSan Francisco

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  • PartagerMachine Learning Engineer, ASE Search Team 200668044-3577

  • Numéro de rôle :  200668044-3577
  • 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...

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• Machine Learning Engineer

  Apprentissage automatique et intelligence artificielle11 juin 2026

  LieuLondon

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  • PartagerMachine Learning Engineer 200666780-2114

  • Numéro de rôle :  200666780-2114
  • Heures hebdomadaires : 35 Heures

  Imagine what you could do here. At Apple, great new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish! Are you passionate about music, movies, and the world of Artificial Intelligence and Machine Learning? So are we! Join our Human-Centered AI team for Apple Media Services. In this role, you'll represent the user perspective on new features, review and analyze data, and evaluate AI models powering everything from search and recommendations to other in...

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• Staff Machine Learning Engineer – Ads Signals Intelligence & Information Retrieval

  Apprentissage automatique et intelligence artificielle10 juin 2026

  LieuCupertino

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  • PartagerStaff Machine Learning Engineer – Ads Signals Intelligence & Information Retrieval 200644466-0836

  • Numéro de rôle :  200644466-0836
  • Heures hebdomadaires : 5 Heures

  At Apple, we focus deeply on our customers’ experience. Apple Ads brings this same approach to advertising, helping people find exactly what they’re looking for and helping advertisers grow their businesses! Our technology powers ads and sponsorships across Apple Services, including the App Store, Apple News, and MLS Season Pass. Everything we do is designed for trust, connection, and impact: We respect user privacy, integrate advertising thoughtfully into the experience, and deliver value for advertisers of all sizes—from small app developers to big, global brands. Because when advertising...

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• Systems Engineer - Evaluation Engineering

  Apprentissage automatique et intelligence artificielle09 juin 2026

  LieuCupertino

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  • PartagerSystems Engineer - Evaluation Engineering 200667461-0836

  • Numéro de rôle :  200667461-0836
  • 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 ...

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• AIML - Sr Machine Learning Engineer, Data and ML Innovation

  Apprentissage automatique et intelligence artificielle08 juin 2026

  LieuCupertino

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  • PartagerAIML - Sr Machine Learning Engineer, Data and ML Innovation 200667335-0836

  • Numéro de rôle :  200667335-0836
  • Heures hebdomadaires : 40 Heures

  We are looking for talented machine learning engineers who are excited to tackle some of the most meaningful and technically challenging problems in building and deploying foundation model–based products for our customers. As a Machine Learning Engineer focused on foundation model evaluation, you will play a critical role in assessing the capabilities of the models that power Apple Intelligence features. You will work closely with machine learning researchers to translate evaluation insights into actionable improvements that advance future model performance.

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• AIML Engineer - Human Perception

  Apprentissage automatique et intelligence artificielle08 juin 2026

  LieuSunnyvale

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  • PartagerAIML Engineer - Human Perception 200667012-3956

  • Numéro de rôle :  200667012-3956
  • Heures hebdomadaires : 40 Heures

  The Video Computer Vision organization is working on breakthrough technologies for future Apple products. Our team delivers cutting-edge AI, machine learning, computer vision and graphics algorithms that power technologies including human understanding, perception, digital humans, AI agents, and health applications. In this role, you will collaborate with world-class experts in AI, ML, Software, and Hardware to tackle fundamental challenges in human-centric solutions that will impact millions of users across Apple's ecosystem.

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• Senior Software Engineer: Agentic Evaluation

  Apprentissage automatique et intelligence artificielle08 juin 2026

  LieuCupertino

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  • PartagerSenior Software Engineer: Agentic Evaluation 200666976-0836

  • Numéro de rôle :  200666976-0836
  • 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 ...

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