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103 Result(s)

AIML - Machine Learning Engineer, Foundation Model Services
Machine Learning and AIJan 22, 2026
LocationSeattle
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Role Number: 200620972-3337
Weekly Hours: 40 Hours
Do you feel you think differently, you are eager to break status quo, are bold and ambitious, aren’t afraid to take risks and are passionate to build the best of class technology. If yes, what better place to be at and do this than Apple? At Apple, “we think different, we push the boundaries of computing and intelligence. We build products that bring smile to people’s face”. Foundation Model Services team, within Machine Learning Platform Technologies organization is the back-bone of Apple Intelligence. It builds frameworks, services and tools that power the largest Apple foundation model...
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AIML - Sr. Applied Machine Learning Engineer - Answers, Knowledge & Information (AKI)
Machine Learning and AIJan 21, 2026
LocationSeattle
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Role Number: 200632366-3337
Weekly Hours: 40 Hours
Do you want to make Siri and Apple products smarter for our users? Our Answers, Knowledge & Information (AKI) team is redefining how hundreds of millions of people use their devices to get information. We are an Applied ML team pushing the limits on real-time augmented information retrieval and generation, information safety and search technologies, while also responsible for a few user-facing production services. We are part of a wider effort to power information across a variety of Apple products – including: Siri, Spotlight, Safari, Messages, Lookup, and more.
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AIML - ML Research Scientist, HCMI
Machine Learning and AIJan 21, 2026
LocationSeattle
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Role Number: 200642850-3337
Weekly Hours: 40 Hours
We're seeking a ML Research Scientist to join the UI Understanding team within AIML. The UI understanding team tackles challenges at the intersection of ML and HCI, with a focus on automated understanding, interaction, evaluation and generation of graphical user interfaces of all kinds across all Apple platforms. Research Scientists in our team collaborate with ML Engineers, Software Engineers, and other specialists to tackle significant technical and human-centered challenges, develop and deploy technologies using Machine Learning, and collaborate with partner teams across Apple to ship in...
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AIML - Machine Learning Researcher, Foundation Models
Machine Learning and AIJan 21, 2026
LocationSeattle
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Role Number: 200623739-3337
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. 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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AIML - Machine Learning Researcher, Foundation Models
Machine Learning and AIJan 20, 2026
LocationSeattle
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Role Number: 200641998-3337
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. 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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Sr. Software Engineer, ML Compute - ML Platform & Technologies
Machine Learning and AIJan 20, 2026
LocationSeattle
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Role Number: 200599667-3337
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 - ML Researcher, AFM
Machine Learning and AIJan 16, 2026
LocationSeattle
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Role Number: 200641993-3337
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. 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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ASE - Machine Learning Engineer, MLPT
Machine Learning and AIJan 14, 2026
LocationSeattle
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Role Number: 200641779-3337
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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Sr Applied Scientist, AI/ML Evaluation Quality, Apple Services Engineering
Machine Learning and AIJan 14, 2026
LocationSeattle
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Role Number: 200637238-3337
Weekly Hours: 40 Hours
At Apple, we believe that technology should enrich people's lives in meaningful ways. Apple Services—including the App Store, Apple Music, Apple TV+, and Podcasts—connect millions of users worldwide to the content and experiences they love. Behind these services are sophisticated AI and machine learning systems that power personalized recommendations, intelligent search, and content discovery. The quality of these experiences depends fundamentally on the integrity of the data that fuels them. Join the Human-centered AI (HAI) organization within Apple Services Engineering as a Senior Applied...
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Senior Machine Learning Engineer, Apple Intelligence Data Platform
Machine Learning and AIJan 14, 2026
LocationSeattle
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Role Number: 200625093-3337
Weekly Hours: 40 Hours
Are you excited about building innovative generative AI experiences that empower millions of users daily? Do you thrive in collaborative environments and enjoy applying your machine learning expertise to real-world user experiences? If so, we’d love to hear from you. We’re looking for a Senior Machine Learning 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, and more — by building scalable, privacy-conscious ML systems! Our team is responsible for the Research, D...
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ASE - Machine Learning Engineer, MLPT
Machine Learning and AIJan 13, 2026
LocationSeattle
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Role Number: 200641263-3337
Weekly Hours: 40 Hours
The Apple Knowledge Quality Team is building the next-generation of machine learning solutions for Knowledge Q&A at Apple and help power features including Siri and Spotlight. The features we build are redefining how hundreds of millions of people use their computers and mobile devices to search and find what they are looking for. As part of this group, you will work with one of the most exciting high performance computing environments, with petabytes of data, millions of queries per second, and have an opportunity to imagine and build products that delight our customers every single day.
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Sr. Machine Learning Engineer – Recommendations & Personalization (Feature Engineering)
Machine Learning and AIJan 12, 2026
LocationSeattle
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Role Number: 200641184-3337
Weekly Hours: 40 Hours
The Apple Services Engineering team is one of the most exciting examples of Apple’s long-held passion for combining art and technology. We are the people who power the App Store, Apple TV, Apple Music, Apple Podcasts, and Apple Books. And we do it on a massive scale, meeting Apple’s high expectations with high performance, to deliver a huge variety of entertainment in over 35 languages to more than 150 countries. Our scientists and engineers build secure, end-to-end solutions powered by machine learning. Thanks to Apple’s unique integration of hardware, software, and services, designers, sc...
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AIML - UI Engineer, Data and ML Innovation
Machine Learning and AIJan 10, 2026
LocationSeattle
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Role Number: 200634538-3337
Weekly Hours: 40 Hours
The vision for DMLI organization is to improve Apple Foundation Model and advance in ML Research. Within this organization the mission of the ML Data & Applications (MLDA) team is to build products that enable Apple Foundation Model team to quickly identify model soft spots and iterate on improving model capabilities. As a UI Engineer on the team, you will work on an internal product that showcases the power of Apple Foundation Model and provides valuable data for model hillclimbing.
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AIML - Sr Applied AI Scientist - GenAI Model Autograding, Evaluation
Machine Learning and AIJan 09, 2026
LocationSeattle
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Role Number: 200637211-3337
Weekly Hours: 40 Hours
Do you get excited by building AI applications to enhance the evaluation of various Apple AI products? Our Evaluation organization is responsible for providing principled assessments across a diverse range of Apple features, from Search and Siri to the latest Apple Intelligence capabilities. Within this critical function, our team specializes in leveraging advanced AI/ML techniques to enhance both the quality and efficiency of these comprehensive evaluations. We are seeking a highly innovative and passionate Applied AI Scientist to develop cutting-edge AI/ML models for the automatic grad...
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AIML - Sr Engineering Program Manager, Foundation Models
Machine Learning and AIJan 06, 2026
LocationSeattle
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Role Number: 200639945-3337
Weekly Hours: 40 Hours
Are you passionate about overseeing evaluating ML models and validating AI applications? The successful candidate will have a proven track record of conceptualizing and delivering technically complex platform projects. They will have a solid understanding of the mechanics of developing ML systems and what it takes to scale and ship them to billions of users worldwide. They will be managing and coordinating projects with vendors, annotation platform teams, legal, finance, and partner data scientists & engineers to create data assets which are used to power and evaluate ground breaking machin...
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Machine Learning Manager, Maps Search
Machine Learning and AIJan 02, 2026
LocationSeattle
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Role Number: 200628873-3337
Weekly Hours: 40 Hours
Siri helps hundreds of millions of people find the information they are looking for. A critical part of that mission is helping them quickly find and discover local businesses, places of interest, and addresses. Users rely on us for easy, relevant access to local information, such as finding a favorite or romantic restaurant, business hours, nearby coffee shop addresses, and directions to prominent locations. The Siri Maps is part of a wider effort to power search across a variety of Apple products – including Siri, Spotlight, Safari, Messages, and more. We leverage the latest ML techniques...
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Senior Machine Learning Efficiency Engineer - SIML, ISE
Machine Learning and AIDec 17, 2025
LocationSeattle
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Role Number: 200634806-3337
Weekly Hours: 40 Hours
Are you passionate about Generative AI and excited to work on groundbreaking modeling technologies that will enrich the lives of billions? The Intelligence System Experience (ISE) team within Apple’s software organization is a multidisciplinary group operating at the intersection of Multimodal Foundation Models, Efficient and Scalable ML Infrastructure, and Personalized Intelligent Experiences. As a senior machine learning engineer on our team, you will design software systems and algorithms that enable performant, scalable training and inference for Apple’s AI-driven experiences across bot...
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On-Device Machine Learning Integration Engineer
Machine Learning and AIDec 17, 2025
LocationSeattle
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Role Number: 200636740-3337
Weekly Hours: 40 Hours
We’re starting to see the incredible potential of multimodal foundation and large language models, and many applications in the computer vision and machine learning domain that previously appeared infeasible are now within reach. We are looking for a highly motivated and skilled Machine Learning Integration Engineer to join our team in the Video Computer Vision group and help us enable that potential for realtime human understanding on Apple devices. The Video Computer Vision org has pioneered human-centric real-time features such as FaceID, FaceKit, and Gaze and Hand gesture control which ...
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AIML - ML Researcher, AFM
Machine Learning and AIDec 16, 2025
LocationSeattle
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Role Number: 200607600-3337
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. 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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ML Research Engineer, Search - Apple Services Engineering
Machine Learning and AIDec 15, 2025
LocationSeattle
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Role Number: 200636112-3337
Weekly Hours: 40 Hours
The Apple Services Engineering (ASE) team is one of the most exciting examples of Apple’s long-held passion for combining art and technology. These are the people who power Search for the App Store, Apple TV, Apple Music, Apple Podcasts, and Apple Books. And they do it on a massive scale, meeting Apple’s high expectations with high performance to deliver a huge variety of entertainment in over 35 languages to more than 150 countries. These engineers build secure, end-to-end solutions. They develop the custom software used to process all the creative work, the tools that providers use to del...
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