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• ML Researcher, Autonomous Security

  Apprentissage machine et intelligence artificielle22 avr. 2026

  EmplacementSeattle

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  • PartagerML Researcher, Autonomous Security 200659299-3337

  • Numéro du poste :  200659299-3337
  • Heures de travail hebdomadaires : 40 Heures

  The Information Security Machine Learning (ISML) team empowers information security by harnessing patterns and insights from vast amounts of data to predict, detect, and respond; transforming reactive security into autonomous protection. We are seeking a highly innovative and experienced ML Researcher specializing in streaming threat detection over provenance graphs to join our dynamic team. As an ML Researcher on Autonomous Security, you will be instrumental in advancing the state-of-the-art in ML for cybersecurity, focusing on developing dynamic, adaptive, and robust security solutions th...

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• Machine Learning Engineer – Recommendations & Personalization (Feature Engineering)

  Apprentissage machine et intelligence artificielle22 avr. 2026

  EmplacementSeattle

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  • PartagerMachine Learning Engineer – Recommendations & Personalization (Feature Engineering) 200659262-3337

  • Numéro du poste :  200659262-3337
  • Heures de travail hebdomadaires : 40 Heures

  The Apple Services Engineering team is one of the most exciting examples of Apple’s long-held passion for combining art and technology. We are the people who power the App Store, Apple TV, Apple Music, Apple Podcasts, and Apple Books. And we do it on a massive scale, meeting Apple’s high expectations with high performance, to deliver a huge variety of entertainment in over 35 languages to more than 150 countries. Our scientists and engineers build secure, end-to-end solutions powered by machine learning. Thanks to Apple’s unique integration of hardware, software, and services, designers, sc...

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• Machine Learning Engineer, Apple Services Engineering

  Apprentissage machine et intelligence artificielle16 avr. 2026

  EmplacementSeattle

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  • Partager Machine Learning Engineer, Apple Services Engineering 200651732-3337

  • Numéro du poste :  200651732-3337
  • Heures de travail hebdomadaires : 40 Heures

  Are you passionate about building extraordinary products and embracing state of art techniques? It's central to all that we do! The goal of the Apple Services GenAI & ML Frameworks team is to take personalization, search, and more to the next level of intelligence and accuracy using advanced ML and statistical techniques.

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• AIML - Site Lead & Lead Researcher, Foundation Models

  Apprentissage machine et intelligence artificielle15 avr. 2026

  EmplacementSeattle

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  • PartagerAIML - Site Lead & Lead Researcher, Foundation Models 200658199-3337

  • Numéro du poste :  200658199-3337
  • Heures de travail 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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• Senior Manager - Machine Learning Applied Research and ML , Responsible AI and Safety

  Apprentissage machine et intelligence artificielle08 avr. 2026

  EmplacementSeattle

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  • PartagerSenior Manager - Machine Learning Applied Research and ML , Responsible AI and Safety 200655875-3337

  • Numéro du poste :  200655875-3337
  • Heures de travail hebdomadaires : 40 Heures

  Join us as we build world-class groundbreaking products for our customers! Apple's Responsible AI and Safety team focuses on innovative technologies, methodologies, and research to enable fantastic user experiences and to push the frontier of machine learning. Our team is looking to hire a leader with a strong track record in Applied Research, who is passionate about ML and foundation models with a focus on responsibility, fairness, and safety. In this role, you will lead the research and application of ML methods for technologies that power breakthrough user experiences while upholding App...

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• AI Experience Researcher, Product Evaluation, Vision Products Group

  Apprentissage machine et intelligence artificielle01 avr. 2026

  EmplacementSeattle

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  • PartagerAI Experience Researcher, Product Evaluation, Vision Products Group 200655171-3337

  • Numéro du poste :  200655171-3337
  • Heures de travail hebdomadaires : 40 Heures

  We are seeking a highly motivated and analytical AI Experience Researcher to join our team. This role blends cognitive and human sciences, data sciences, systems design, and product evaluation to ensure AI-powered products deliver exceptional and intuitive customer experiences. You will work alongside a small but impactful team, collaborating with ML and data scientists, software engineers, designers, project managers, and other cross-functional teams at Apple to define success criteria for AI experiences, and create rigorous evaluations that measure these criteria in iterative product deve...

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• Senior Staff Machine Learning Engineer, Apple Search & Knowledge Platforms

  Apprentissage machine et intelligence artificielle01 avr. 2026

  EmplacementSeattle

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  • PartagerSenior Staff Machine Learning Engineer, Apple Search & Knowledge Platforms 200648349-3337

  • Numéro du poste :  200648349-3337
  • Heures de travail hebdomadaires : 40 Heures

  Apple is where individual imaginations gather together, contributing to the values that lead to great work. Every The AI, Search & Knowledge Platforms team builds amazing products and services for Apple's customers while serving as a foundational partner to teams across Apple. The team delivers world-class AI, search, and knowledge systems powering Siri, Apple Intelligence, Safari, and iMessage, and operates the foundational platforms and infrastructure that keep these intelligent experiences running at hyperscale. You will lead the strong team of MLE, SWE, and data engineers responsible f...

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• AIML - Machine Learning Researcher, DMLI- Image/Video Generation

  Apprentissage machine et intelligence artificielle31 mars 2026

  EmplacementSeattle

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  • PartagerAIML - Machine Learning Researcher, DMLI- Image/Video Generation 200601297-3337

  • Numéro du poste :  200601297-3337
  • Heures de travail hebdomadaires : 40 Heures

  We are hiring a researcher with a strong technical background in Image/Video generation and editing, as well as Multimodal Foundation Models. You will play a critical role in the research and development of multimodal foundation models for image/video/3D generation, editing, animation, and many more. As a member of the team, you will have the opportunity to develop fundamental model capabilities, collaborate with team members with diverse backgrounds to work on ambitious projects, and collaborate broadly across Apple with world-class engineers and researchers to advance our products and del...

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• Software Engineer - Machine Translation Automation

  Apprentissage machine et intelligence artificielle24 mars 2026

  EmplacementSeattle

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  • PartagerSoftware Engineer - Machine Translation Automation 200651662-3337

  • Numéro du poste :  200651662-3337
  • Heures de travail hebdomadaires : 40 Heures

  Play a part in the next revolution in human-computer interaction. Build groundbreaking technology for large scale systems, spoken language, big data, and artificial intelligence. The Machine Translation team is looking for exceptional Software Engineers passionate about delighting customer's experience, building and improving the Machine Learning Automation and Tooling with a strong focus on model automation pipelines development and deployment.

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• AIML - Machine Learning Engineer - Computer Vision & Audio, MIND

  Apprentissage machine et intelligence artificielle17 mars 2026

  EmplacementSeattle

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  • PartagerAIML - Machine Learning Engineer - Computer Vision & Audio, MIND 200649665-3337

  • Numéro du poste :  200649665-3337
  • Heures de travail hebdomadaires : 40 Heures

  The Machine Intelligence, Neural Design (MIND) team, part of Apple’s AIML organization, is leading Apple-wide innovation on HW/SW co-design for efficient inference. With roots in ML, computer vision, and energy efficiency research, our team is strategically positioned to contribute to diverse initiatives ranging from shipping features in well-known Apple products to ambitious, long-term research projects. We are seeking a hands-on Machine Learning Engineer to drive the data & evaluation lifecycle for our production models. In this role, you will focus on designing and scaling high-performa...

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• Machine Learning Safety: Evaluation Research Engineer

  Apprentissage machine et intelligence artificielle16 mars 2026

  EmplacementSeattle

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  • PartagerMachine Learning Safety: Evaluation Research Engineer 200651943-3337

  • Numéro du poste :  200651943-3337
  • Heures de travail hebdomadaires : 40 Heures

  This role supports the design and development of safety evaluation methodologies for generative and agentic AI features that enable users across the globe to interact with our media products and services.

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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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• AIML - Machine Learning Engineer, MIND

  Apprentissage machine et intelligence artificielle11 mars 2026

  EmplacementSeattle

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  • PartagerAIML - Machine Learning Engineer, MIND 200651341-3337

  • Numéro du poste :  200651341-3337
  • Heures de travail hebdomadaires : 40 Heures

  As a Machine Learning Engineer in the Machine Intelligence Neural Design (MIND) team, you will have an opportunity to be part of an ML innovation organization within Apple that has its roots in the computer vision research community. The team is well positioned for strategic contributions in the short-term (on well-known Apple products) and in the long-term (on highly ambitious, high-risk, high-reward projects). This role has a strong focus on shipping ML-based features and products. You'll innovate in the entire end-to-end ML production pipeline. This includes but is not limited to; crafti...

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• Research Engineer - Special Projects

  Apprentissage machine et intelligence artificielle11 mars 2026

  EmplacementSeattle

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  • PartagerResearch Engineer - Special Projects 200651094-3337

  • Numéro du poste :  200651094-3337
  • Heures de travail hebdomadaires : 40 Heures

  We're seeking research engineers to build infrastructure for breakthrough innovations in AI agents, reinforcement learning, and simulation environments. You will design and implement high-quality data pipelines, simulation systems, and tooling that enable cutting-edge agent research. You will work in an organization of world-class machine learning researchers and engineers. Our work powers technologies across the Apple ecosystem and is published in the most selective scientific journals and conferences.

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• ML Applied Scientist, Apple Services Engineering AI/ML

  Apprentissage machine et intelligence artificielle10 mars 2026

  EmplacementSeattle

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  • PartagerML Applied Scientist, Apple Services Engineering AI/ML 200650473-3337

  • Numéro du poste :  200650473-3337
  • Heures de travail hebdomadaires : 40 Heures

  The Apple Services Engineering (ASE) organization is one of the most exciting examples of Apple’s long-held passion for combining art with technology. We are the people who power the App Store, Apple TV, Apple Music, Apple Podcasts, and Apple Books. And we do it on a massive scale, meeting Apple’s high expectations with high performance, to deliver a huge variety of entertainment in over 40 languages to more than 170 countries. Our scientists and engineers build secure, end-to-end solutions powered by Artifical Intelligence & Machine Learning. Thanks to Apple’s unique integration of hardwa...

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• Staff Applied Research and ML , Responsible AI and Safety

  Apprentissage machine et intelligence artificielle09 mars 2026

  EmplacementSeattle

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  • PartagerStaff Applied Research and ML , Responsible AI and Safety 200650850-3337

  • Numéro du poste :  200650850-3337
  • Heures de travail hebdomadaires : 40 Heures

  Play a part in building the next generation of generative AI applications at Apple. We’re looking for AI Leaders, Scientists, Engineers and Researchers to tackle ambitious projects that will impact the future of Apple and our products.

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• AIML - ML Research Scientist, HCMI

  Apprentissage machine et intelligence artificielle09 mars 2026

  EmplacementSeattle

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  • PartagerAIML - ML Research Scientist, HCMI 200642850-3337

  • Numéro du poste :  200642850-3337
  • Heures de travail hebdomadaires : 40 Heures

  We're seeking a ML Research Scientist to join the UI Understanding team within AIML. The UI understanding team tackles challenges at the intersection of ML and HCI, with a focus on automated understanding, interaction, evaluation and generation of graphical user interfaces of all kinds across all Apple platforms. Research Scientists in our team collaborate with ML Engineers, Software Engineers, and other specialists to tackle significant technical and human-centered challenges, develop and deploy technologies using Machine Learning, and collaborate with partner teams across Apple to ship in...

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• Machine Learning Research Scientist - Health AIML

  Apprentissage machine et intelligence artificielle04 mars 2026

  EmplacementSeattle

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  • PartagerMachine Learning Research Scientist - Health AIML 200649925-3337

  • Numéro du poste :  200649925-3337
  • Heures de travail hebdomadaires : 40 Heures

  The Health AIML team is at the forefront of machine learning and health science at Apple. We are a close-knit team of research scientists, software engineers and machine learning engineers passionate about delivering innovative technologies that impact millions of users. We are looking for a Machine Learning Research Scientist with strong dedication to solving real-world problems in health and fitness that enrich our customers' lives.

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• Machine Learning Research Engineer (Human Sensing), SIML - ISE

  Apprentissage machine et intelligence artificielle25 févr. 2026

  EmplacementSeattle

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  • PartagerMachine Learning Research Engineer (Human Sensing), SIML - ISE 200634290-3337

  • Numéro du poste :  200634290-3337
  • Heures de travail hebdomadaires : 40 Heures

  The System Intelligence Machine Learning (SIML) organization is looking for Research Engineers with a strong foundation in Machine Learning and Computer Vision to develop the next generation of multi-modal Human Sensing technologies. You will be part of a fast-paced, impact-driven Applied Research organization building foundation models for facial and full-body perception, and working on cutting-edge machine learning that is at the heart of the most loved features on Apple platforms including Apple Intelligence, Camera, Photos, Visual Intelligence, etc. These innovations form the foundation...

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• Applied AI Scientist - Multimodal Intelligence

  Apprentissage machine et intelligence artificielle23 févr. 2026

  EmplacementSeattle

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  • PartagerApplied AI Scientist - Multimodal Intelligence 200648240-3337

  • Numéro du poste :  200648240-3337
  • 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. Bring passion and dedication to your job and there's no telling what you could accomplish. Multifaceted, amazing people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same passion for innovation that goes into our products also applies to our practices, strengthening our commitment to leave the world better than we found it. Join us in thi...

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