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• Research Scientist, Applied Machine Learning Security (Agent Systems), SEAR

  Logiciels et services09 sept. 2026

  EmplacementCupertino

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  • PartagerResearch Scientist, Applied Machine Learning Security (Agent Systems), SEAR 200682701-0836

  • Numéro du poste :  200682701-0836
  • Heures de travail hebdomadaires : 40 Heures

  At Apple, we believe privacy is a fundamental human right. Our Security Engineering & Architecture (SEAR) organization is at the forefront of protecting billions of users worldwide, building security into every product, service, and experience we create. The SEAR ML Security Engineering team combines cutting-edge machine learning with world-class security engineering to defend against evolving threats at unprecedented scale. We're responsible for developing intelligent security systems for Apple Intelligence that protect Apple's ecosystem while preserving the privacy our users expect and de...

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• Sr. Machine Learning Engineer, Speech LLM Evaluation

  Logiciels et services08 sept. 2026

  EmplacementCupertino

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  • PartagerSr. Machine Learning Engineer, Speech LLM Evaluation 200682418-0836

  • Numéro du poste :  200682418-0836
  • Heures de travail 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. Our Speech Evaluation team sits at the center of Apple's ASR, TTS, and real-time conversational AI efforts, partnering directly wi...

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• Lead AI Engineer, Finance Digital Transformation

  Logiciels et services04 sept. 2026

  EmplacementCupertino

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  • PartagerLead AI Engineer, Finance Digital Transformation 200679654-0836

  • Numéro du poste :  200679654-0836
  • Heures de travail hebdomadaires : 40 Heures

  Apple's Finance organisation is looking for experienced technical leaders to help us build the future. As Lead AI Engineer, you'll architect and deliver AI-powered solutions that transform how Finance operates globally—from automating complex workflows to enabling smarter decision-making at scale. This is a builder-leader role where your code ships to production and your technical decisions shape our AI strategy. You'll work at the intersection of cutting-edge AI and enterprise finance, solving unique challenges around scale, compliance, and reliability that few engineers ever tackle. You...

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• Machine Learning Researcher Multi-Modal Reasoning

  Logiciels et services04 sept. 2026

  EmplacementCupertino

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  • PartagerMachine Learning Researcher Multi-Modal Reasoning 200682033-0836

  • Numéro du poste :  200682033-0836
  • Heures de travail hebdomadaires : 40 Heures

  Do you believe generative models can transform creative workflows and smart assistants used by billions? Do you believe it can fundamentally shift how people interact with devices and communicate, personalizing and tailoring experiences to their unique needs? SIML’s Content Understanding teams strives to turn cutting edge research into compelling user experiences that realize all these goals and more, working on Apple Intelligence technologies such as Image Playground, Genmoji, Generative Memories, Semantic Search, and many more. You will be working alonside teams that are in charge of o...

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• Machine Learning Researcher Multi-Modal Reasoning

  Logiciels et services04 sept. 2026

  EmplacementSeattle

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  • PartagerMachine Learning Researcher Multi-Modal Reasoning 200682033-3337

  • Numéro du poste :  200682033-3337
  • Heures de travail hebdomadaires : 40 Heures

  Do you believe generative models can transform creative workflows and smart assistants used by billions? Do you believe it can fundamentally shift how people interact with devices and communicate, personalizing and tailoring experiences to their unique needs? SIML’s Content Understanding teams strives to turn cutting edge research into compelling user experiences that realize all these goals and more, working on Apple Intelligence technologies such as Image Playground, Genmoji, Generative Memories, Semantic Search, and many more. You will be working alonside teams that are in charge of o...

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• Sr. Software Engineering Manager, UI Rendering

  Logiciels et services04 sept. 2026

  EmplacementCupertino

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  • PartagerSr. Software Engineering Manager, UI Rendering 200631982-0836

  • Numéro du poste :  200631982-0836
  • Heures de travail hebdomadaires : 5 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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• Applied Machine Learning Engineer - Localization

  Logiciels et services03 sept. 2026

  EmplacementCupertino

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  • PartagerApplied Machine Learning Engineer - Localization 200681561-0836

  • Numéro du poste :  200681561-0836
  • Heures de travail hebdomadaires : 40 Heures

  The Software Localization team powers the tooling, features and processes used to create an exceptional localized experience for Apple’s international customers. We are responsible for the Localization workflows in Xcode, framework-level Localization support, localized OS features, and internal Localization tools used for high quality Localization across all of Apple’s products. We are in search of a creative, motivated, and passionate technical leader who has a robust understanding of large language models (LLMs), generative AI, Natural Language Processing (NLP) and Machine Translation (M...

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• Senior Product Data Scientist, Media Services

  Logiciels et services03 sept. 2026

  EmplacementCulver City

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  • PartagerSenior Product Data Scientist, Media Services 200681003-0670

  • Numéro du poste :  200681003-0670
  • Heures de travail hebdomadaires : 40 Heures

  Services at Apple help hundreds of millions of customers get the most out of the devices they love through amazing apps, award-winning shows and movies, immersive music in spatial audio, world-class workouts and meditations, super fun games and more! The Services Product Data Science & Analytics organization is passionate about developing discerning insights and machine learning solutions to help continually improve these services and accelerate growth while maintaining a strong dedication to customer privacy.

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• Senior Product Data Scientist, Media Services

  Logiciels et services03 sept. 2026

  EmplacementCupertino

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  • PartagerSenior Product Data Scientist, Media Services 200681003-0836

  • Numéro du poste :  200681003-0836
  • Heures de travail hebdomadaires : 40 Heures

  Services at Apple help hundreds of millions of customers get the most out of the devices they love through amazing apps, award-winning shows and movies, immersive music in spatial audio, world-class workouts and meditations, super fun games and more! The Services Product Data Science & Analytics organization is passionate about developing discerning insights and machine learning solutions to help continually improve these services and accelerate growth while maintaining a strong dedication to customer privacy.

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• Machine Learning Manager, Data for Foundation Models - SIML

  Logiciels et services03 sept. 2026

  EmplacementCupertino

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  • PartagerMachine Learning Manager, Data for Foundation Models - SIML 200667330-0836

  • Numéro du poste :  200667330-0836
  • Heures de travail 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...

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• On-device ML Infrastructure Engineer (Orchestration & Performance)

  Logiciels et services02 sept. 2026

  EmplacementCupertino

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  • PartagerOn-device ML Infrastructure Engineer (Orchestration & Performance) 200680834-0836

  • Numéro du poste :  200680834-0836
  • Heures de travail hebdomadaires : 40 Heures

  Imagine being at the forefront of an evolution where cutting-edge AI meets the elegance of Apple silicon. The On-Device Machine Learning team transforms groundbreaking research into practical applications, enabling billions of Apple devices to run powerful AI models locally, privately, and efficiently. We stand at the unique intersection of research, software engineering, hardware engineering, and product development, making Apple the leading destination for machine learning innovation. Our team builds the essential infrastructure that enables machine learning at scale on Apple devices. Th...

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• On-Device ML Compiler Engineer, Model Compilation, Graphics, Games and Machine Learning

  Logiciels et services02 sept. 2026

  EmplacementCupertino

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  • PartagerOn-Device ML Compiler Engineer, Model Compilation, Graphics, Games and Machine Learning 200631247-0836

  • Numéro du poste :  200631247-0836
  • Heures de travail hebdomadaires : 40 Heures

  Imagine being at the forefront of an evolution where innovative AI meets the elegance of Apple silicon. The On-Device Machine Learning team transforms groundbreaking research into practical applications, enabling billions of Apple devices to run powerful AI models locally, privately, and efficiently. We stand at the unique intersection of research, software engineering, hardware engineering, and product development, making Apple the leading destination for machine learning innovation. Our team builds the essential infrastructure that enables machine learning at scale on Apple devices. This...

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• On-Device ML Compiler Engineer, Model Compilation, Graphics, Games and Machine Learning

  Logiciels et services02 sept. 2026

  EmplacementCupertino

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  • PartagerOn-Device ML Compiler Engineer, Model Compilation, Graphics, Games and Machine Learning 200658150-0836

  • Numéro du poste :  200658150-0836
  • Heures de travail hebdomadaires : 40 Heures

  Imagine being at the forefront of an evolution where innovative AI meets the elegance of Apple silicon. The On-Device Machine Learning team transforms groundbreaking research into practical applications, enabling billions of Apple devices to run powerful AI models locally, privately, and efficiently. We stand at the unique intersection of research, software engineering, hardware engineering, and product development, making Apple the leading destination for machine learning innovation. Our team builds the essential infrastructure that enables machine learning at scale on Apple devices. Th...

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• AIML Data Engineer

  Logiciels et services02 sept. 2026

  EmplacementAustin

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  • PartagerAIML Data Engineer 200679473-0157

  • Numéro du poste :  200679473-0157
  • Heures de travail hebdomadaires : 40 Heures

  Are you passionate about building the data infrastructure that powers AI-driven customer experience measurement — and using that data to uncover the "why" behind the numbers? The AppleCare Customer Insights (ACCI) team is redefining how Apple measures and improves generative support experiences. Our AIML initiatives use large language models to evaluate support conversations across multiple quality dimensions, providing real-time signal to leadership on how our AI-powered support is performing. We are seeking an AIML Data Engineer to own the data pipelines, feature engineering, and telemetr...

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• AIML Data Operations, Senior Vendor Manager

  Logiciels et services01 sept. 2026

  EmplacementCupertino

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  • PartagerAIML Data Operations, Senior Vendor Manager 200661924-0836

  • Numéro du poste :  200661924-0836
  • Heures de travail hebdomadaires : 40 Heures

  Behind every groundbreaking AI innovation at Apple is a foundation of high-quality annotated data—and behind that foundation are the vendor partnerships and production operations that make it possible at scale. We're looking for a Senior Manager to own the end-to-end vendor lifecycle, from sourcing and contracting through quality, delivery, and compliance, while leading the team that serves as the critical link between Apple's annotation needs and our external vendor workforce. You will develop your team's capabilities in vendor management, production operations, and quality oversight whi...

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• Lead iCloud Insights Engineer, Services Data Science & Analytics

  Logiciels et services01 sept. 2026

  EmplacementAustin

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  • PartagerLead iCloud Insights Engineer, Services Data Science & Analytics 200681257-0157

  • Numéro du poste :  200681257-0157
  • Heures de travail hebdomadaires : 40 Heures

  Are you ready to make a significant impact in Apple Services? At Apple, new ideas have a way of becoming phenomenal products, services, and customer experiences very quickly — and if you are passionate about telling compelling data stories with creative and insightful visualizations, we would love for you to apply. The Apple Services Data Science & Analytics team drives decisions that improve the customer experience, accelerate growth, and uncover new business opportunities while respecting user privacy. We work on some of the largest e-commerce and media streaming businesses in the world, ...

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• Lead iCloud Insights Engineer, Services Data Science & Analytics

  Logiciels et services01 sept. 2026

  EmplacementCulver City

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  • PartagerLead iCloud Insights Engineer, Services Data Science & Analytics 200681257-0670

  • Numéro du poste :  200681257-0670
  • Heures de travail hebdomadaires : 40 Heures

  Are you ready to make a significant impact in Apple Services? At Apple, new ideas have a way of becoming phenomenal products, services, and customer experiences very quickly — and if you are passionate about telling compelling data stories with creative and insightful visualizations, we would love for you to apply. The Apple Services Data Science & Analytics team drives decisions that improve the customer experience, accelerate growth, and uncover new business opportunities while respecting user privacy. We work on some of the largest e-commerce and media streaming businesses in the world, ...

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• Lead iCloud Insights Engineer, Services Data Science & Analytics

  Logiciels et services01 sept. 2026

  EmplacementCupertino

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  • PartagerLead iCloud Insights Engineer, Services Data Science & Analytics 200681257-0836

  • Numéro du poste :  200681257-0836
  • Heures de travail hebdomadaires : 40 Heures

  Are you ready to make a significant impact in Apple Services? At Apple, new ideas have a way of becoming phenomenal products, services, and customer experiences very quickly — and if you are passionate about telling compelling data stories with creative and insightful visualizations, we would love for you to apply. The Apple Services Data Science & Analytics team drives decisions that improve the customer experience, accelerate growth, and uncover new business opportunities while respecting user privacy. We work on some of the largest e-commerce and media streaming businesses in the world, ...

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• Sr. Machine Learning Manager, AI, Search & Knowledge Platforms

  Logiciels et services01 sept. 2026

  EmplacementCupertino

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  • PartagerSr. Machine Learning Manager, AI, Search & Knowledge Platforms 200681274-0836

  • Numéro du poste :  200681274-0836
  • Heures de travail hebdomadaires : 40 Heures

  Do you want to make Apple products more intelligent for our users? The Search & Recommendation Platforms team is building groundbreaking core infrastructure technology for an AI powered, large scale, highly performant agentic search serving stack. This platform powers search and recommendation experiences across Siri, Safari, Spotlight, App Store, Apple Music, and other Apple products. We are looking for a seasoned Engineering Manager who will build and lead a team of backend infrastructure and ML engineers, own the technical roadmap for large scale indexing and serving systems, and drive ...

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• Sr. Machine Learning Manager, AI, Search & Knowledge Platforms

  Logiciels et services01 sept. 2026

  EmplacementSanta Clara

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  • PartagerSr. Machine Learning Manager, AI, Search & Knowledge Platforms 200681274-3760

  • Numéro du poste :  200681274-3760
  • Heures de travail hebdomadaires : 40 Heures

  Do you want to make Apple products more intelligent for our users? The Search & Recommendation Platforms team is building groundbreaking core infrastructure technology for an AI powered, large scale, highly performant agentic search serving stack. This platform powers search and recommendation experiences across Siri, Safari, Spotlight, App Store, Apple Music, and other Apple products. We are looking for a seasoned Engineering Manager who will build and lead a team of backend infrastructure and ML engineers, own the technical roadmap for large scale indexing and serving systems, and drive ...

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