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• Machine Learning Manager, Visual Generation Foundation Models

  Logiciels et services11 sept. 2026

  LieuCupertino

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  • PartagerMachine Learning Manager, Visual Generation Foundation Models 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...

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• WiFi Experience Software Engineer

  Logiciels et services11 sept. 2026

  LieuMétropole de San Francisco : plusieurs lieux

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  • PartagerWiFi Experience Software Engineer 200679966-3401

  • Numéro de rôle :  200679966-3401
  • Heures hebdomadaires : 40 Heures

  Are you a fearless thinker? Do you love the challenge of advancing a widely accepted technology? In the Wireless Software group, you’ll be responsible for bringing groundbreaking wireless connectivity to the world through Wi-Fi, Bluetooth, GPS, and more. You’ll design, develop, and patent the next generation of our state-of-the art connectivity technologies. You’ll collaborate across departments to help craft wireless solutions that elevate the customer experience with Apple products and services. Our goal is to ensure nothing stands in the way of our customers’ connections with their devic...

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• Data & Analytics Engineer, Health & Fitness, Sensing & Connectivity

  Logiciels et services10 sept. 2026

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  • PartagerData & Analytics Engineer, Health & Fitness, Sensing & Connectivity 200683024-0836

  • Numéro de rôle :  200683024-0836
  • 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 Engineer, ML Systems Evaluation Engineering

  Logiciels et services10 sept. 2026

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  • PartagerSr. Machine Learning Engineer, ML Systems Evaluation Engineering 200683055-0836

  • Numéro de rôle :  200683055-0836
  • 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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• Backend Software Engineer - Camera & Photos Tools & AI Team

  Logiciels et services10 sept. 2026

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  • PartagerBackend Software Engineer - Camera & Photos Tools & AI Team 200672256-0836

  • Numéro de rôle :  200672256-0836
  • Heures hebdomadaires : 40 Heures

  At Apple, new ideas have a way of becoming extraordinary products and experiences very quickly. Bring your passion and dedication to your job and there's no telling what you could accomplish. Apple's Camera & Photos Tools & AI team is a tight-knit engineering team building the internal tools that power how the Camera, Photos, and Image Quality teams measure, evaluate, and improve the imaging experience on Apple products. Our software sits at the center of some of Apple's most demanding imaging workflows: it captures and catalogs enormous volumes of images and videos, orchestrates long-runn...

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• AIML - Director, Evaluation - Data Science and Insights

  Logiciels et services10 sept. 2026

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  • PartagerAIML - Director, Evaluation - Data Science and Insights 200664287-0836

  • Numéro de rôle :  200664287-0836
  • 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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• Senior Machine Learning Engineer, NLP, Input Experience

  Logiciels et services10 sept. 2026

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  • PartagerSenior Machine Learning Engineer, NLP, Input Experience 200651071-0836

  • Numéro de rôle :  200651071-0836
  • Heures hebdomadaires : 40 Heures

  Our team’s mission is to enhance ML powered user experiences on all Apple platforms through personalized multimodal input, composition, and understanding, with a global perspective. We achieve this daily by collaborating at the intersection of natural language processing, machine learning, and software engineering. We are responsible for the machine learning and software (non-UI) development for several user-facing Apple Intelligence features, including Writing Tools, Summarization, Found In Apps, and Messages/Mail Smart Replies. Additionally, we oversee the keyboard machine learning and ...

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

  Logiciels et services09 sept. 2026

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

  • Numéro de rôle :  200682701-0836
  • Heures 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

  LieuCambridge

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  • PartagerSr. Machine Learning Engineer, Speech LLM Evaluation 200682418-1242

  • Numéro de rôle :  200682418-1242
  • 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. 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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• Sr. Machine Learning Engineer, Speech LLM Evaluation

  Logiciels et services08 sept. 2026

  LieuCupertino

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

  • Numéro de rôle :  200682418-0836
  • 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. 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

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  • PartagerLead AI Engineer, Finance Digital Transformation 200679654-0836

  • Numéro de rôle :  200679654-0836
  • Heures 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

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  • PartagerMachine Learning Researcher Multi-Modal Reasoning 200682033-0836

  • Numéro de rôle :  200682033-0836
  • Heures 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

  LieuSeattle

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  • PartagerMachine Learning Researcher Multi-Modal Reasoning 200682033-3337

  • Numéro de rôle :  200682033-3337
  • Heures 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

  LieuCupertino

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

  • Numéro de rôle :  200631982-0836
  • Heures 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

  LieuCupertino

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  • PartagerApplied Machine Learning Engineer - Localization 200681561-0836

  • Numéro de rôle :  200681561-0836
  • Heures 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

  LieuCulver City

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  • PartagerSenior Product Data Scientist, Media Services 200681003-0670

  • Numéro de rôle :  200681003-0670
  • Heures 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

  LieuCupertino

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  • PartagerSenior Product Data Scientist, Media Services 200681003-0836

  • Numéro de rôle :  200681003-0836
  • Heures 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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• On-device ML Infrastructure Engineer (Orchestration & Performance)

  Logiciels et services02 sept. 2026

  LieuCupertino

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

  • Numéro de rôle :  200680834-0836
  • Heures 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

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

  • Numéro de rôle :  200631247-0836
  • Heures 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

  LieuCupertino

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

  • Numéro de rôle :  200658150-0836
  • Heures 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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