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

  Apprentissage machine et intelligence artificielle10 juin 2026

  EmplacementCupertino

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

  • Numéro du poste :  200644466-0836
  • Heures de travail 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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• Machine Learning Engineer, Proactive — Large Language Models, Generative AI & Agentic Systems

  Apprentissage machine et intelligence artificielle09 juin 2026

  EmplacementCupertino

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  • PartagerMachine Learning Engineer, Proactive — Large Language Models, Generative AI & Agentic Systems 200664261-0836

  • Numéro du poste :  200664261-0836
  • Heures de travail hebdomadaires : 40 Heures

  The Intelligence Platform team empowers clients across Apple’s operating systems with high-quality, user-centric knowledge and inferences that enable next-generation user experiences. We’re an applied Machine Learning team that leverages state-of-the-art technologies—Generative AI, Large Language Models, RAG based systems, and emerging agentic AI patterns—to deliver high-quality inferences at scale!

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• Senior Software Engineer, Apple Intelligence Data Platform - Proactive

  Apprentissage machine et intelligence artificielle09 juin 2026

  EmplacementSeattle

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  • PartagerSenior Software Engineer, Apple Intelligence Data Platform - Proactive 200667358-3337

  • Numéro du poste :  200667358-3337
  • Heures de travail hebdomadaires : 40 Heures

  Are you excited about building the data infrastructure that powers innovative generative AI experiences for millions of users daily? Do you thrive in collaborative environments and enjoy applying engineering rigor to large-scale, privacy-conscious systems? If so, we'd love to hear from you. We're looking for a Senior Software 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, Personalization and more, by building scalable, privacy-conscious data and ML platforms. O...

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• Applied Research Scientist, Proactive Intelligence — Personal and Agentic Search

  Apprentissage machine et intelligence artificielle09 juin 2026

  EmplacementCupertino

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  • PartagerApplied Research Scientist, Proactive Intelligence — Personal and Agentic Search 200667354-0836

  • Numéro du poste :  200667354-0836
  • 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 in...

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• Senior Machine Learning iOS Platform Engineer — Responsible AI and Safety

  Apprentissage machine et intelligence artificielle09 juin 2026

  EmplacementDivers emplacements Région de la baie de San Francisco

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  • PartagerSenior Machine Learning iOS Platform Engineer — Responsible AI and Safety 200667449-3401

  • Numéro du poste :  200667449-3401
  • Heures de travail hebdomadaires : 40 Heures

  Join Us in Shaping the Future of Generative AI at Apple! Are you passionate about making AI systems safer, more inclusive, and globally representative? Apple is seeking an expert Client Engineer to own the integration of our Responsible AI mitigation assets across the full deployment surface, from on-device foundation models running on Apple Silicon to server-side inference on Private Cloud Compute (PCC). In this role, you will be a pivotal technical leader, bridging Swift client engineering and ML deployment, driving the architectural vision, design, and implementation of how safety cla...

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• Senior Machine Learning iOS Platform Engineer — Responsible AI and Safety

  Apprentissage machine et intelligence artificielle09 juin 2026

  EmplacementDivers emplacements Seattle Metro Area

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  • PartagerSenior Machine Learning iOS Platform Engineer — Responsible AI and Safety 200667449

  • Numéro du poste :  200667449
  • Heures de travail hebdomadaires : 40 Heures

  Join Us in Shaping the Future of Generative AI at Apple! Are you passionate about making AI systems safer, more inclusive, and globally representative? Apple is seeking an expert Client Engineer to own the integration of our Responsible AI mitigation assets across the full deployment surface, from on-device foundation models running on Apple Silicon to server-side inference on Private Cloud Compute (PCC). In this role, you will be a pivotal technical leader, bridging Swift client engineering and ML deployment, driving the architectural vision, design, and implementation of how safety cla...

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• AIML - Machine Learning Research

  Apprentissage machine et intelligence artificielle08 juin 2026

  EmplacementCupertino

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  • PartagerAIML - Machine Learning Research 200666843-0836

  • Numéro du poste :  200666843-0836
  • Heures de travail hebdomadaires : 40 Heures

  Apple AFM Multilinguality (i18n) / Machine Translation team is looking for exceptional researchers/scientists to develop the next generation of Apple Foundation Models to allow our users to communicate across language barriers and perform multilingual tasks. Passionate about Natural Language Processing, Large Language Modeling (LLMs) and Machine Translation? Join us to bring the most advanced Multilingual solution across the Apple ecosystem.

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• AIML - Machine Learning Research

  Apprentissage machine et intelligence artificielle08 juin 2026

  EmplacementNew York

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  • PartagerAIML - Machine Learning Research 200666843-2459

  • Numéro du poste :  200666843-2459
  • Heures de travail hebdomadaires : 40 Heures

  Apple AFM Multilinguality (i18n) / Machine Translation team is looking for exceptional researchers/scientists to develop the next generation of Apple Foundation Models to allow our users to communicate across language barriers and perform multilingual tasks. Passionate about Natural Language Processing, Large Language Modeling (LLMs) and Machine Translation? Join us to bring the most advanced Multilingual solution across the Apple ecosystem.

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• ML Researcher, Apple Foundation Models

  Apprentissage machine et intelligence artificielle08 juin 2026

  EmplacementDivers emplacements Région métropolitaine de New York

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  • PartagerML Researcher, Apple Foundation Models 200664386-2621

  • Numéro du poste :  200664386-2621
  • 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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• AIML - ML Researcher, Responsible AI

  Apprentissage machine et intelligence artificielle05 juin 2026

  EmplacementCupertino

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  • PartagerAIML - ML Researcher, Responsible AI 200667081-0836

  • Numéro du poste :  200667081-0836
  • Heures de travail hebdomadaires : 40 Heures

  Join us as we build world-class groundbreaking products for our customers! Apple's Data and ML Innovation team focuses on innovative technologies, methodologies, and research to enable fantastic user experiences and advance the frontier of machine learning. Our team is looking to hire a tech lead with a strong track record in Applied Research who is passionate about ML and Human-Computer Interaction - mainly as applied to the responsibility, fairness, and safety of Generative AI. In this role, you will lead research methods focused on enabling ML technologies that power breakthrough user ...

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• AIML - ML Researcher, Responsible AI

  Apprentissage machine et intelligence artificielle05 juin 2026

  EmplacementPittsburgh

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  • PartagerAIML - ML Researcher, Responsible AI 200667081-2926

  • Numéro du poste :  200667081-2926
  • Heures de travail hebdomadaires : 40 Heures

  Join us as we build world-class groundbreaking products for our customers! Apple's Data and ML Innovation team focuses on innovative technologies, methodologies, and research to enable fantastic user experiences and advance the frontier of machine learning. Our team is looking to hire a tech lead with a strong track record in Applied Research who is passionate about ML and Human-Computer Interaction - mainly as applied to the responsibility, fairness, and safety of Generative AI. In this role, you will lead research methods focused on enabling ML technologies that power breakthrough user ...

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• AIML - ML Researcher, Responsible AI

  Apprentissage machine et intelligence artificielle05 juin 2026

  EmplacementSeattle

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  • PartagerAIML - ML Researcher, Responsible AI 200667081-3337

  • Numéro du poste :  200667081-3337
  • Heures de travail hebdomadaires : 40 Heures

  Join us as we build world-class groundbreaking products for our customers! Apple's Data and ML Innovation team focuses on innovative technologies, methodologies, and research to enable fantastic user experiences and advance the frontier of machine learning. Our team is looking to hire a tech lead with a strong track record in Applied Research who is passionate about ML and Human-Computer Interaction - mainly as applied to the responsibility, fairness, and safety of Generative AI. In this role, you will lead research methods focused on enabling ML technologies that power breakthrough user ...

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• Senior Data Scientist, Experimentation & Causal Inference

  Apprentissage machine et intelligence artificielle05 juin 2026

  EmplacementCupertino

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  • PartagerSenior Data Scientist, Experimentation & Causal Inference 200666485-0836

  • Numéro du poste :  200666485-0836
  • Heures de travail hebdomadaires : 40 Heures

  At Apple, some of the most important decisions are shaped by the quality of the evidence behind them. We are seeking a Senior Data Scientist, Experimentation & Causal Inference to help advance the scientific foundations of measurement, experimentation, and organizational learning across Apple Services. This role sits at the intersection of statistics, causal inference, experimental design, and decision-making. You will help define how success is measured, how experiments aredesigned, and how causal evidence is generated and accumulated across the organization. Beyond individual experiment...

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• Senior Data Scientist, Strategic Modeling & Simulation

  Apprentissage machine et intelligence artificielle05 juin 2026

  EmplacementCupertino

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  • PartagerSenior Data Scientist, Strategic Modeling & Simulation 200666451-0836

  • Numéro du poste :  200666451-0836
  • Heures de travail hebdomadaires : 40 Heures

  At Apple, many of the most consequential decisions are made long before products launch, features ship, or investments are approved. We are seeking a Senior Data Scientist, StrategicModeling & Simulation to help quantify the future impact of strategic decisions under uncertainty. This role combines strategic simulation, predictive modeling, machine learning, impact estimation, forecasting, and quantitative decision science to help leadership evaluate opportunities, understand trade-offs, and make better long-term investment decisions. You will develop the models that connect experimenta...

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• Sr Machine Learning Engineer, Proactive

  Apprentissage machine et intelligence artificielle04 juin 2026

  EmplacementSanta Clara

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  • PartagerSr Machine Learning Engineer, Proactive 200661999-3760

  • Numéro du poste :  200661999-3760
  • Heures de travail hebdomadaires : 40 Heures

  We are looking for a hardworking and experienced Machine Learning Engineer to build intelligent search experiences. In this role, you will build intelligent search systems that deeply understand user intent and context to return highly relevant, accurate, and personalized responses. You will develop and deploy machine learning models to shape how users find relevant content or answers, driving better experiences and higher satisfaction!

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• Special Projects - Research Scientist/Engineer (Robotics)

  Apprentissage machine et intelligence artificielle27 mai 2026

  EmplacementSanta Clara

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  • PartagerSpecial Projects - Research Scientist/Engineer (Robotics) 200663675-3760

  • Numéro du poste :  200663675-3760
  • 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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• Engineering Manager, Data for Applied AI Models

  Apprentissage machine et intelligence artificielle27 mai 2026

  EmplacementCupertino

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  • PartagerEngineering Manager, Data for Applied AI Models 200648101-0836

  • Numéro du poste :  200648101-0836
  • Heures de travail hebdomadaires : 40 Heures

  Join us at the forefront of redefining how people interact with their devices. On the Siri team, we’re solving the challenge of building and shipping powerful LLMs that shape the way millions of Apple customers get things done every day. As our Data lead, you will help craft the future of on-device AI by developing powerful yet compact LLMs that bring personalized, private, and low-latency experiences to users. This is a high-impact role for a hands-on technical leader who thrives at the intersection of cutting-edge AI development and product delivery.

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• AIML Researcher/Engineer - Foundation Model Post-Training

  Apprentissage machine et intelligence artificielle27 mai 2026

  EmplacementCupertino

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  • PartagerAIML Researcher/Engineer - Foundation Model Post-Training 200662944-0836

  • Numéro du poste :  200662944-0836
  • Heures de travail hebdomadaires : 40 Heures

  We are a tight-knit group of researchers and engineers responsible for building large scale frontier foundation models at Apple. We believe the most interesting breakthroughs in deep learning happen when we bridge the gap between raw model capability and user-centric utility.

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• AIML Researcher/Engineer - Foundation Model Post-Training

  Apprentissage machine et intelligence artificielle27 mai 2026

  EmplacementNew York

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  • PartagerAIML Researcher/Engineer - Foundation Model Post-Training 200662944-2459

  • Numéro du poste :  200662944-2459
  • Heures de travail hebdomadaires : 40 Heures

  We are a tight-knit group of researchers and engineers responsible for building large scale frontier foundation models at Apple. We believe the most interesting breakthroughs in deep learning happen when we bridge the gap between raw model capability and user-centric utility.

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• AIML Researcher/Engineer - Foundation Model Post-Training

  Apprentissage machine et intelligence artificielle27 mai 2026

  EmplacementSeattle

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  • PartagerAIML Researcher/Engineer - Foundation Model Post-Training 200662944-3337

  • Numéro du poste :  200662944-3337
  • Heures de travail hebdomadaires : 40 Heures

  We are a tight-knit group of researchers and engineers responsible for building large scale frontier foundation models at Apple. We believe the most interesting breakthroughs in deep learning happen when we bridge the gap between raw model capability and user-centric utility.

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