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Research Scientist/ Engineer - Special Projects
Machine Learning and AIFeb 18, 2026
LocationVarious Locations within San Francisco Bay Area
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Role Number: 200647316-3401
Weekly Hours: 40 Hours
We're seeking research scientists and engineers to create breakthrough innovations in machine learning. We are particularly interested in frontier models (LLMs and diffusion models) as well as the interface of AI and science. You will work in an organization of world-class machine learning researchers and engineers. Our work powers cutting-edge technologies across the Apple ecosystem and is published in the most selective scientific journals and conferences.
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Senior AI Engineering Manager - Channel Sales AIML Platform
Machine Learning and AIFeb 17, 2026
LocationCupertino
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Role Number: 200646849-0836
Weekly Hours: 40 Hours
Imagine the possibilities here. At Apple, great ideas swiftly transform into exceptional products, services, and customer experiences. We firmly believe that with passion and dedication, you can achieve remarkable things! Every new product, service, or feature we create is the result of collaborative efforts, where each person strengthens the other’s ideas. This synergy thrives here because we all strive towards a shared goal: crafting the best customer experiences.
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AI Engineering Manager - GenAI Platform , Infra & AIOps
Machine Learning and AIFeb 17, 2026
LocationCupertino
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Role Number: 200646708-0836
Weekly Hours: 40 Hours
Imagine what you could do here. At Apple, great ideas have a way of becoming outstanding products, services and customer experiences very quickly. We believe that if you bring passion and dedication to your job, there's no telling what you could accomplish! Every new product, service, or feature we invent is the result of people working together to make each other's ideas stronger. That happens here because every one of us strives toward a common goal - crafting the best customer experiences.
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visionOS, Machine Learning Engineer/Computer Vision
Machine Learning and AIFeb 17, 2026
LocationSunnyvale
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Role Number: 200647141-3956
Weekly Hours: 40 Hours
Join our machine learning team at Apple to develop computer vision and localization technologies that help devices understand their place in the world. We're seeking a talented Machine Learning Engineer who excels at transforming research innovations into production-ready solutions, tackling the full spectrum from training large-scale models to optimizing them for real-time, on-device performance. If you're passionate about solving hard problems in spatial intelligence—from challenging real-world environments to privacy-preserving design—this is your opportunity to create experiences that m...
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Computer Vision Software Engineer
Machine Learning and AIFeb 16, 2026
LocationCupertino
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Role Number: 200646968-0836
Weekly Hours: 40 Hours
iPhone is the most popular camera in the world, with billions of photos taken every year. The seamless integration of software and hardware has led to camera features like the Photonic Engine, Portrait mode, and Super-high-resolution photos, which deliver magical experiences that surprise and delight our customers! The Camera Technologies & Systems team in the Camera & Photos org delivers amazing quality photos and videos by combining state of the art computer vision, image processing, and machine learning.
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Staff Machine Learning Engineer
Machine Learning and AIFeb 16, 2026
LocationNew York City
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Role Number: 200641072-2459
Weekly Hours: 40 Hours
At Apple, we work every day to create products that enrich people’s lives. Apple Ads makes it possible for people around the world to easily access informative and imaginative content on their devices while helping publishers and developers promote and monetize their work. Today, our technology and services power advertising in Search Ads, App Store, and Apple News. Our platforms are highly-performant, deployed at scale, and setting new standards for enabling effective advertising while protecting user privacy. The Machine Learning Platform team’s mission is to empower teams at Apple Ads ...
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AIML - Staff ML Researcher in Foundation Models, Responsible AI
Machine Learning and AIFeb 16, 2026
LocationCupertino
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Role Number: 200635834-0836
Weekly Hours: 40 Hours
Join us as we build world-class groundbreaking products for our customers! The Responsible AI and Safety team is looking to hire a tech lead with a strong track record in Applied Research who is passionate about ML and foundation models with a focus on responsibility, fairness, and safety. In this role, you will lead the research and application of ML methods for technologies that power breakthrough user experiences while upholding Apple's values, privacy, and quality standards.
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AIML Data Operations - Annotations Team Manager
Machine Learning and AIFeb 14, 2026
LocationCupertino
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Role Number: 200645748-0836
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! Behind every groundbreaking AI innovation at Apple is a foundation of high-quality annotated data—and behind that foundation is exceptional leadership. We're looking for a Manager of Annotation Operations to lead a team of program managers who play a critical role in ensuring the quality and efficiency of this vital process. You will set strategic direction for how your team engages with customers across Apple's ecosystem, ensuring the delivery of h...
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Manager, Engineering Program Management, AIML Data Operations
Machine Learning and AIFeb 14, 2026
LocationCupertino
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Role Number: 200634945-0836
Weekly Hours: 40 Hours
Apple is where individual imaginations gather together, committing to the values that lead to great work. It's the diversity of our people and their thinking that inspires the innovation that runs through everything we do. Here, you'll do more than join something — you'll add something. At Apple, we work every day to create products that enrich people's lives. We believe artificial intelligence is one of the most profound technologies of our lifetime. The AIML Data Operations team builds software systems that enable high-quality machine learning data collection and annotation at scale. Ou...
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AIML - Data Scientist, Evaluation
Machine Learning and AIFeb 13, 2026
LocationCupertino
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Role Number: 200637217-0836
Weekly Hours: 40 Hours
Do you get excited by driving product impact via measurement and evaluation, for products and services used by hundreds of millions of people globally? Within the evaluation organization, the mission of Data Science and Insights team is to guide product development, decisions and directions through principled evaluation and rigorous use of data. You will partner with various engineering teams to improve search quality and guide feature development with data, to deliver amazing search experiences across iPhone, iPad, HomePod, Mac, Watch, tv, across dozens of languages.
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AIML - Data Scientist, Evaluation
Machine Learning and AIFeb 13, 2026
LocationSeattle
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Role Number: 200637217-3337
Weekly Hours: 40 Hours
Do you get excited by driving product impact via measurement and evaluation, for products and services used by hundreds of millions of people globally? Within the evaluation organization, the mission of Data Science and Insights team is to guide product development, decisions and directions through principled evaluation and rigorous use of data. You will partner with various engineering teams to improve search quality and guide feature development with data, to deliver amazing search experiences across iPhone, iPad, HomePod, Mac, Watch, tv, across dozens of languages.
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AIML - Staff ML Engineer, Responsible AI
Machine Learning and AIFeb 13, 2026
LocationCupertino
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Role Number: 200646873-0836
Weekly Hours: 40 Hours
Join Us in Shaping the Future of Generative AI at Apple! Are you passionate about making AI systems safer, more inclusive, and globally representative? Apple is seeking an expert Machine Learning Engineer to shape the future of responsible AI for the next generation of generative features. In this role, you will lead the responsible AI lifecycle end-to-end: assessing risks, defining policies, developing mitigation strategies, and driving continuous improvements. Your work will directly influence how we evaluate, align, and monitor the safety of large language and multimodal models. As p...
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AIML - Staff ML Engineer, Responsible AI
Machine Learning and AIFeb 13, 2026
LocationNew York City
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Role Number: 200646873-2459
Weekly Hours: 40 Hours
Join Us in Shaping the Future of Generative AI at Apple! Are you passionate about making AI systems safer, more inclusive, and globally representative? Apple is seeking an expert Machine Learning Engineer to shape the future of responsible AI for the next generation of generative features. In this role, you will lead the responsible AI lifecycle end-to-end: assessing risks, defining policies, developing mitigation strategies, and driving continuous improvements. Your work will directly influence how we evaluate, align, and monitor the safety of large language and multimodal models. As p...
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AIML - Staff ML Engineer, Responsible AI
Machine Learning and AIFeb 13, 2026
LocationPittsburgh
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Role Number: 200646873-2926
Weekly Hours: 40 Hours
Join Us in Shaping the Future of Generative AI at Apple! Are you passionate about making AI systems safer, more inclusive, and globally representative? Apple is seeking an expert Machine Learning Engineer to shape the future of responsible AI for the next generation of generative features. In this role, you will lead the responsible AI lifecycle end-to-end: assessing risks, defining policies, developing mitigation strategies, and driving continuous improvements. Your work will directly influence how we evaluate, align, and monitor the safety of large language and multimodal models. As p...
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AIML - Staff ML Engineer, Responsible AI
Machine Learning and AIFeb 13, 2026
LocationSan Francisco
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Role Number: 200646873-3577
Weekly Hours: 40 Hours
Join Us in Shaping the Future of Generative AI at Apple! Are you passionate about making AI systems safer, more inclusive, and globally representative? Apple is seeking an expert Machine Learning Engineer to shape the future of responsible AI for the next generation of generative features. In this role, you will lead the responsible AI lifecycle end-to-end: assessing risks, defining policies, developing mitigation strategies, and driving continuous improvements. Your work will directly influence how we evaluate, align, and monitor the safety of large language and multimodal models. As p...
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AIML - Staff ML Engineer, Responsible AI
Machine Learning and AIFeb 13, 2026
LocationSeattle
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Role Number: 200646873-3337
Weekly Hours: 40 Hours
Join Us in Shaping the Future of Generative AI at Apple! Are you passionate about making AI systems safer, more inclusive, and globally representative? Apple is seeking an expert Machine Learning Engineer to shape the future of responsible AI for the next generation of generative features. In this role, you will lead the responsible AI lifecycle end-to-end: assessing risks, defining policies, developing mitigation strategies, and driving continuous improvements. Your work will directly influence how we evaluate, align, and monitor the safety of large language and multimodal models. As p...
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Machine Learning Manager, Siri Speech
Machine Learning and AIFeb 13, 2026
LocationCupertino
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Role Number: 200646880-0836
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 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. Come join us and do your best ...
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Full-Stack Software Engineer
Machine Learning and AIFeb 13, 2026
LocationSan Diego
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Role Number: 200643395-3543
Weekly Hours: 40 Hours
At Apple, great ideas grow when diverse perspectives come together. Every product, service, and experience we create is built by people who care deeply about quality, collaboration, and learning. When we bring everybody in, we do the best work of our lives and here, you’ll do more than join something. You’ll add something. We are looking for a Full-Stack Software Engineer to join the VEDI ML Tools & Workflows team. This role is ideal for engineers early in their career who are excited to work at the intersection of machine learning infrastructure, data systems, and intuitive developer-faci...
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AIML Senior Capacity Engineer - Apple Services Engineering
Machine Learning and AIFeb 12, 2026
LocationSanta Clara
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Role Number: 200646657-3760
Weekly Hours: 40 Hours
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 - Sr Machine Learning Engineer, Responsible AI
Machine Learning and AIFeb 12, 2026
LocationCupertino
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Role Number: 200636400-0836
Weekly Hours: 40 Hours
Would you like to play a part in building the next generation of generative AI applications at Apple? We’re looking for Machine Learning Engineers to work on ambitious projects that will impact the future of Apple, our products, and the broader world. This role is directed at assessing, quantifying, and improving the safety and inclusivity of Apple’s Generative-AI powered features and products. In this role you’ll have the opportunity to tackle innovative problems in machine learning, particularly focused on large language models for text generation, diffusion models for image generation,...
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