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US - Specialist: Full-Time, Part-Time, and Part-Time Temporary
Apple Retail09 Nov 2025
LocationVarious locations within United States
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Role Number: 114438158
Weekly Hours: 40 Hours
Apple Retail is where the best of Apple comes together. We bring our expertise to help people do what they love, delivering an only-at-Apple experience. We believe inclusion is a shared responsibility and we work together to foster a culture where everyone belongs and is inspired to do their best work. As a Specialist, you build brand loyalty and create owners of Apple products and services. You’re dedicated to selling and delivering a customer service experience that is unlike any other. A Specialist is curious — you ask questions to learn about our customers’ needs, customizing recommend...
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Sr. Audio Software Engineer, Vision Products Group (VPG)
Software and Services07 Nov 2025
LocationSeattle
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Role Number: 200629540-3337
Weekly Hours: 40 Hours
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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AIML - Data Scientist, Data Operations
Machine Learning and AI07 Nov 2025
LocationSeattle
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Role Number: 200609424-3337
Weekly Hours: 40 Hours
Imagine what you could do here. At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Do you love thinking analytically? Are you passionate about solving complex business problems in a fast-paced environment? The AIML Data Operations group engages with teams across Apple’s ecosystem with the ultimate goal of delivering high-quality annotated data in support of unreleased products and ground breaking AI technology. The Data Operations Capacity Planning team is looking for a highly motivated Senior Analyst with proven experience ...
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Software Engineer- ASE Enterprise
Software and Services07 Nov 2025
LocationSeattle
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Role Number: 200630852-3337
Weekly Hours: 40 Hours
Apple’s Enterprise Organization is looking for a creative and diligent Software Engineer to join our Software Delivery Engineering team. Our team’s mission is simple: help people work together—and with Apple devices—at scale, whether that means a school district, a small business, or a Fortune 500 company. You’ll work at the intersection of software delivery, automation, and Generative AI, designing intelligent systems. You’ll build and enhance the systems that power Apple School Manager and Apple Business Manager, ensuring Apple’s enterprise services deliver exceptional reliability, scal...
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AIML Resident - Machine Learning Platform Technologies (MLPT)
Machine Learning and AI07 Nov 2025
LocationSeattle
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Role Number: 200630802-3337
Weekly Hours: 40 Hours
Imagine what you could do here! At Apple, great ideas have a way of becoming great products, services, and customer experiences very quickly. Combining groundbreaking machine learning research with next-generation hardware, our teams take user experiences to the next level.
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AIML Resident - Knowledge Answer Quality & Richness
Machine Learning and AI07 Nov 2025
LocationSeattle
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Role Number: 200630798-3337
Weekly Hours: 40 Hours
Imagine what you could do here! At Apple, great ideas have a way of becoming great products, services, and customer experiences very quickly. Combining groundbreaking machine learning research with next-generation hardware, our teams take user experiences to the next level.
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AIML Resident - Data Operations Capacity Planning & Analytics
Machine Learning and AI07 Nov 2025
LocationSeattle
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Role Number: 200630794-3337
Weekly Hours: 40 Hours
Imagine what you could do here! At Apple, great ideas have a way of becoming great products, services, and customer experiences very quickly. Combining groundbreaking machine learning research with next-generation hardware, our teams take user experiences to the next level.
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AIML Resident - Machine Learning Research
Machine Learning and AI07 Nov 2025
LocationSeattle
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Role Number: 200630783-3337
Weekly Hours: 40 Hours
Imagine what you could do here! At Apple, great ideas have a way of becoming great products, services, and customer experiences very quickly. Combining groundbreaking machine learning research with next-generation hardware, our teams take user experiences to the next level.
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AIML - Staff Machine Learning Engineer
Machine Learning and AI06 Nov 2025
LocationSeattle
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Role Number: 200630668-3337
Weekly Hours: 40 Hours
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 strengthening each other’s ideas. That happens because every one of us believes that we can make something wonderful and share it with the world, changing lives for the better! In this organization, we work hard to bring the best user experiences powered by Apple Intelligence. Our team is instrumental in powering and enhancing features across a range of Apple products, including Siri...
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AIML - Machine Learning Engineer, Foundation Models
Machine Learning and AI06 Nov 2025
LocationSeattle
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Role Number: 200622160-3337
Weekly Hours: 40 Hours
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.
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Senior iCloud Efficiency Engineer
Software and Services06 Nov 2025
LocationSeattle
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Role Number: 200614454-3337
Weekly Hours: 40 Hours
In Apple’s iCloud services organization, efficiency is not just a technical goal; it's an essential part of our commitment to environmental sustainability and optimal resource utilization. The iCloud Efficiency team plays a pivotal role in ensuring that our cloud services are not only robust and reliable but also efficiently utilize resources at scale. This team focuses on forecasting, capacity planning, resource optimization, and the development of sophisticated cost models for iCloud's large-scale services. As an iCloud Efficiency Engineer, you will work at the intersection of systems eng...
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AIML - Machine Learning Researcher, Foundation Models
Machine Learning and AI06 Nov 2025
LocationSeattle
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Role Number: 200620422-3337
Weekly Hours: 40 Hours
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.
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Senior Software Engineer, Siri Attention And Invocation
Machine Learning and AI06 Nov 2025
LocationSeattle
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Role Number: 200571310-3337
Weekly Hours: 40 Hours
Play a part in the next revolution in human-computer interaction. Contribute to a product that is redefining mobile computing. Create groundbreaking technology for large scale systems, spoken language, and artificial intelligence. And work with the people who built the intelligent assistant that helps millions of people get things done — just by asking. Join the Siri Attention and Invocation team at Apple. Siri’s Attention and Invocation Product team is looking for resourceful software engineer to develop Siri’s next generation of natural interaction platforms on Apple’s innovative devices....
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Senior Software Engineer, Siri Runtime Systems and Interaction
Software and Services06 Nov 2025
LocationSeattle
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Role Number: 200589891-3337
Weekly Hours: 40 Hours
We are seeking a Senior Software Engineer to join the Siri Runtime Platform team, with a primary focus on advancing privacy-first systems that enable Siri’s seamless functionality for millions of users worldwide. The Siri Runtime Platform team is responsible for building the foundational technologies that power Siri and Dictation across billions of Apple devices. Serving as a horizontal platform across all device ecosystems (iOS, macOS, watchOS, visionOS), the team manages the lifecycle of user interactions with Siri. In this role, you will lead efforts to design, implement, and optimize p...
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Software Engineer, Siri Runtime Systems and Interaction
Software and Services06 Nov 2025
LocationSeattle
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Role Number: 200612830-3337
Weekly Hours: 40 Hours
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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Machine Learning Engineer, Siri Attention & Invocation
Machine Learning and AI06 Nov 2025
LocationSeattle
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Role Number: 200611051-3337
Weekly Hours: 40 Hours
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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AIML - Senior Machine Learning Engineer - ML Hub Core, Machine Learning Platform Technologies (MLPT)
Machine Learning and AI06 Nov 2025
LocationSeattle
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Role Number: 200629486-3337
Weekly Hours: 40 Hours
Imagine what you could do here. At Apple, great ideas have a way of becoming great products, services, and customer experiences very quickly. Join us in enabling the next generation of intelligent customer experiences in Apple’s products and services with the latest advancements in Generative AI and Large Language Models! We are seeking an experienced ML Engineer to join our dynamic team. You’ll play a key role in designing, developing, and maintaining the central platform for building AI experiences within Apple. The ideal candidate has extensive experience building tools for ML lifecycle...
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Senior Machine Learning Systems Infrastructure Engineer - SIML, ISE
Machine Learning and AI05 Nov 2025
LocationSeattle
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Role Number: 200630294-3337
Weekly Hours: 40 Hours
Do you think Computer Vision and Machine Learning can change the world? Do you think it can transform the way millions of people collect, discover and share the most special moments of their lives? We truly believe it can. We are the System Intelligent and Machine Learning (SIML) group that provides foundational computer vision and machine learning technologies to Apple’s ecosystem. Our work is behind essential features such as Camera, Text & Handwriting recognition, and Apple Intelligence experiences (Image Playground, Writing Tools, Smart Script, Math Notes..). This is an exciting time to...
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AIML - Senior Full-Stack Software Engineer, Machine Learning Platform & Technology
Machine Learning and AI05 Nov 2025
LocationSeattle
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Role Number: 200629484-3337
Weekly Hours: 40 Hours
Join us in building the ML platform that enables teams at Apple to build Apple Intelligence and many other intelligent experiences across hardware, software and service products! We are looking for a front-end facing full stack software engineer who’s passionate about ML tooling. The ideal candidate has solid full stack development skills on web, mobile or desktop app development, passion in the fine details of UX, and a track record of building and shipping applications. You will be working closely with a world-class ML infra and platform team to build tooling and enable faster integratio...
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AIML - Senior Applied Machine Learning Engineer, ML Lifecycle (MLPT)
Machine Learning and AI05 Nov 2025
LocationSeattle
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Role Number: 200629489-3337
Weekly Hours: 40 Hours
We’re building the foundation for intelligent, adaptive AI systems from multi-agent platforms and RAG pipelines to advanced evaluation and reasoning frameworks. We’re looking for a Senior Applied ML Engineer to design, build, and scale machine learning systems that power next-generation AI applications. In this role, you’ll work at the intersection of machine learning, software engineering, helping develop foundational components that enable AI systems to perceive, reason, and act in dynamic, real-world contexts. You’ll be part of a high-impact team shaping how we build, evaluate, and deplo...
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