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Senior Systems Engineer - Special Projects
Machine Learning e Inteligencia artificial04 sep 2026
UbicaciónCupertino
Acciones
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Número de función: 200681868-0836
Horas semanales: 40 Horas
Apple is where individual imaginations gather together to do 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. We’d love to work with you.
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Machine Learning Researcher Multi-Modal Reasoning
Machine Learning e Inteligencia artificial04 sep 2026
UbicaciónCupertino
Acciones
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Número de función: 200682033-0836
Horas semanales: 40 Horas
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
Machine Learning e Inteligencia artificial04 sep 2026
UbicaciónSeattle
Acciones
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Número de función: 200682033-3337
Horas semanales: 40 Horas
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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Senior Product Data Scientist, Media Services
Machine Learning e Inteligencia artificial03 sep 2026
UbicaciónCulver City
Acciones
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Número de función: 200681003-0670
Horas semanales: 40 Horas
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
Machine Learning e Inteligencia artificial03 sep 2026
UbicaciónCupertino
Acciones
Ver descripción completa de la función
Número de función: 200681003-0836
Horas semanales: 40 Horas
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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Full Stack Software Engineer - ML Compute Capacity
Machine Learning e Inteligencia artificial03 sep 2026
UbicaciónSanta Clara
Acciones
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Número de función: 200681765-3760
Horas semanales: 40 Horas
Scaling machine learning workloads across thousands of accelerators creates challenges that few engineers ever encounter. In Apple’s Machine Learning Platform Technologies organization, we build the infrastructure that powers large-scale ML training and inference workloads, bringing together expertise in distributed systems, machine learning infrastructure, and high-performance computing.
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AIML - Machine Learning Researcher, Foundation Models
Machine Learning e Inteligencia artificial03 sep 2026
UbicaciónCupertino
Acciones
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Número de función: 200667299-0836
Horas semanales: 40 Horas
We are a group of engineers and researchers responsible for building foundation models at Apple. We build infrastructure, datasets, and models with fundamental general capabilities such as understanding and generation of text, images, speech, videos, and other modalities and apply these models to Apple products. We are looking for researchers who are passionate about developing algorithms, techniques, and systems that push the frontier of deep learning and delight millions of users with Apple products powered by foundation models.
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On-device ML Infrastructure Engineer (Orchestration & Performance)
Machine Learning e Inteligencia artificial02 sep 2026
UbicaciónCupertino
Acciones
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Número de función: 200680834-0836
Horas semanales: 40 Horas
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
Machine Learning e Inteligencia artificial02 sep 2026
UbicaciónCupertino
Acciones
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Número de función: 200631247-0836
Horas semanales: 40 Horas
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
Machine Learning e Inteligencia artificial02 sep 2026
UbicaciónCupertino
Acciones
Ver descripción completa de la función
Número de función: 200658150-0836
Horas semanales: 40 Horas
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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Full Stack Engineer, Graphics, Games, and ML
Machine Learning e Inteligencia artificial01 sep 2026
UbicaciónCupertino
Acciones
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Número de función: 200680950-0836
Horas semanales: 40 Horas
Make Apple's best developers even better. Partner cross-functionally with the Graphics, Gaming and Machine Learning macOS and iOS engineering teams to streamline workflows, eliminate bottlenecks, and multiply the impact of those building the operating systems that power innovation globally.
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AIML - Sr Machine Learning Research Scientist, Data and ML Innovation
Machine Learning e Inteligencia artificial31 ago 2026
UbicaciónSeattle
Acciones
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Número de función: 200668189-3337
Horas semanales: 40 Horas
Would you like to join a team curious about understanding how foundation models work and to expand their capabilities in scientific domains? We perform and publish novel research and apply our findings to drive product directions. If you like designing clever approaches to understanding complex phenomena and using that knowledge to solve practical problems then this is the position for you.
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Perception Algorithm Engineer
Machine Learning e Inteligencia artificial31 ago 2026
UbicaciónCupertino
Acciones
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Número de función: 200681047-0836
Horas semanales: 40 Horas
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...
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AIML - Staff ML Infrastructure Engineer, ML Platform & Technology - Pre-training Infrastructure
Machine Learning e Inteligencia artificial31 ago 2026
UbicaciónVarias ubicaciones en Área de la Bahía de San Francisco
Acciones
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Número de función: 200680978-3401
Horas semanales: 40 Horas
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 ML Platform Engineer - Agentic Systems - Special Projects
Machine Learning e Inteligencia artificial31 ago 2026
UbicaciónCupertino
Acciones
Ver descripción completa de la función
Número de función: 200651030-0836
Horas semanales: 40 Horas
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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Swift Software Engineer - Agentic OS Experiences
Machine Learning e Inteligencia artificial31 ago 2026
UbicaciónCupertino
Acciones
Ver descripción completa de la función
Número de función: 200643348-0836
Horas semanales: 40 Horas
We're a small team at Apple betting on what comes next. We believe AI will fundamentally change how people interact with their devices — and we're looking for software engineers who want to build that future. We can't say much about what we're building for our customers. What we can say: the problems are genuinely new and the potential reach is enormous. Beyond the work, we're a collaborative, humble, and curious group that loves learning from each other and building together.
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Senior Swift Software Engineer - Agentic OS Experiences
Machine Learning e Inteligencia artificial31 ago 2026
UbicaciónCupertino
Acciones
Ver descripción completa de la función
Número de función: 200643345-0836
Horas semanales: 40 Horas
We're a small team at Apple betting on what comes next. We believe AI will fundamentally change how people interact with their devices — and we're looking for software engineers who want to build that future. We can't say much about what we're building for our customers. What we can say: the problems are genuinely new and the potential reach is enormous. Beyond the work, we're a collaborative, humble, and curious group that loves learning from each other and building together.
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Staff/Sr. Core Infrastructure Engineer, AI, Search & Knowledge Platforms
Machine Learning e Inteligencia artificial31 ago 2026
UbicaciónVarias ubicaciones en Área de la Bahía de San Francisco
Acciones
Ver descripción completa de la función
Número de función: 200679317-3401
Horas semanales: 40 Horas
Do you want to make Apple products smarter for our users? The Core Infra team is looking for an experienced software engineer to work on core infrastructure for information intelligence at Apple. We build systems to connect Apple users to information as part of the wider Apple Intelligence initiative. You will work closely with product teams and information intelligence teams to deliver reliable, scalable, and efficient infrastructure that powers Apple products for billions of users.
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Staff/Sr. Core Infrastructure Engineer, AI, Search & Knowledge Platforms
Machine Learning e Inteligencia artificial31 ago 2026
UbicaciónSeattle
Acciones
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Número de función: 200679317-3337
Horas semanales: 40 Horas
Do you want to make Apple products smarter for our users? The Core Infra team is looking for an experienced software engineer to work on core infrastructure for information intelligence at Apple. We build systems to connect Apple users to information as part of the wider Apple Intelligence initiative. You will work closely with product teams and information intelligence teams to deliver reliable, scalable, and efficient infrastructure that powers Apple products for billions of users.
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On-device ML Performance Engineer, Graphics, Games and Machine Learning
Machine Learning e Inteligencia artificial29 ago 2026
UbicaciónSeattle
Acciones
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Número de función: 200680833-3337
Horas semanales: 40 Horas
The On-Device Machine Learning team at Apple is responsible for enabling the Research to Production lifecycle of cutting edge machine learning models that power magical user experiences on Apple’s hardware and software platforms. Apple is the best place to do on-device machine learning, and this team sits at the heart of that discipline, interfacing with research, SW engineering, HW engineering, and products. The On-device ML Performance team has the responsibility to analyze latency, memory, power and numerical correctness of the latest machine learning models running on Apple SoC’s, and...
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