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• Machine Learning Safety: Evaluation Research Engineer

  Machine Learning and AI16. 3. 2026

  LocationSan Francisco

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  • ShareMachine Learning Safety: Evaluation Research Engineer 200651943-3577

  • Role Number:  200651943-3577
  • Weekly Hours: 40 Hours

  This role supports the design and development of safety evaluation methodologies for generative and agentic AI features that enable users across the globe to interact with our media products and services.

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• Machine Learning Safety: Evaluation Research Engineer

  Machine Learning and AI16. 3. 2026

  LocationSeattle

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  • ShareMachine Learning Safety: Evaluation Research Engineer 200651943-3337

  • Role Number:  200651943-3337
  • Weekly Hours: 40 Hours

  This role supports the design and development of safety evaluation methodologies for generative and agentic AI features that enable users across the globe to interact with our media products and services.

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• Principal Applied Research Engineer/Scientist

  Machine Learning and AI14. 3. 2026

  LocationCupertino

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  • SharePrincipal Applied Research Engineer/Scientist 200651756-0836

  • Role Number:  200651756-0836
  • Weekly Hours: 40 Hours

  At Apple, we don’t just build products; we create experiences that enrich the lives of billions. You have the unique opportunity to seamlessly integrate foundational AI research with world-class hardware and software, bringing cutting-edge technology to billions of users. Your work will have a far-reaching impact, setting precedents for how autonomous, deeply personalized AI technologies enrich lives across our entire product ecosystem.

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• AIML - Machine Learning and Applied Research, Responsible AI and Safety

  Machine Learning and AI12. 3. 2026

  LocationCupertino

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  • ShareAIML - Machine Learning and Applied Research, Responsible AI and Safety 200648559-0836

  • Role Number:  200648559-0836
  • Weekly Hours: 40 Hours

  Apple Intelligence is designed as a deeply integrated, privacy-preserving capability that seamlessly enhances what people can do across iPhone, iPad, Mac, and other devices. Our goal is to elevate the user experience without requiring our customers to learn new products or fundamentally change how they interact with their technology.

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• AIML - Machine Learning and Applied Research, Responsible AI and Safety

  Machine Learning and AI12. 3. 2026

  LocationPittsburgh

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  • ShareAIML - Machine Learning and Applied Research, Responsible AI and Safety 200648559-2926

  • Role Number:  200648559-2926
  • Weekly Hours: 40 Hours

  Apple Intelligence is designed as a deeply integrated, privacy-preserving capability that seamlessly enhances what people can do across iPhone, iPad, Mac, and other devices. Our goal is to elevate the user experience without requiring our customers to learn new products or fundamentally change how they interact with their technology.

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• AIML - Machine Learning and Applied Research, Responsible AI and Safety

  Machine Learning and AI12. 3. 2026

  LocationSan Francisco

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  • ShareAIML - Machine Learning and Applied Research, Responsible AI and Safety 200648559-3577

  • Role Number:  200648559-3577
  • Weekly Hours: 40 Hours

  Apple Intelligence is designed as a deeply integrated, privacy-preserving capability that seamlessly enhances what people can do across iPhone, iPad, Mac, and other devices. Our goal is to elevate the user experience without requiring our customers to learn new products or fundamentally change how they interact with their technology.

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• AIML - Machine Learning and Applied Research, Responsible AI and Safety

  Machine Learning and AI12. 3. 2026

  LocationSeattle

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  • ShareAIML - Machine Learning and Applied Research, Responsible AI and Safety 200648559-3337

  • Role Number:  200648559-3337
  • Weekly Hours: 40 Hours

  Apple Intelligence is designed as a deeply integrated, privacy-preserving capability that seamlessly enhances what people can do across iPhone, iPad, Mac, and other devices. Our goal is to elevate the user experience without requiring our customers to learn new products or fundamentally change how they interact with their technology.

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• Senior Machine Learning Engineer - Ads Auction

  Machine Learning and AI12. 3. 2026

  LocationCupertino

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  • ShareSenior Machine Learning Engineer - Ads Auction 200651407-0836

  • Role Number:  200651407-0836
  • Weekly Hours: 40 Hours

  At Apple, we focus deeply on our customers’ experience. Apple Ads brings this same approach to advertising, helping people find exactly what they’re looking for and helping advertisers grow their businesses. Our technology powers ads and sponsorships across Apple Services, including the App Store, Apple News, and MLS Season Pass. Everything we do is designed for trust, connection, and impact: We respect user privacy, integrate advertising thoughtfully into the experience, and deliver value for advertisers of all sizes—from small app developers to big, global brands. Because when advertis...

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• Senior Machine Learning Engineer - Ads Bidding & Pacing

  Machine Learning and AI12. 3. 2026

  LocationCupertino

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  • ShareSenior Machine Learning Engineer - Ads Bidding & Pacing 200649540-0836

  • Role Number:  200649540-0836
  • Weekly Hours: 40 Hours

  At Apple, we focus deeply on our customers’ experience. Apple Ads brings this same approach to advertising, helping people find exactly what they’re looking for and helping advertisers grow their businesses. Our technology powers ads and sponsorships across Apple Services, including the App Store, Apple News, and MLS Season Pass. Everything we do is designed for trust, connection, and impact: We respect user privacy, integrate advertising thoughtfully into the experience, and deliver value for advertisers of all sizes—from small app developers to big, global brands. Because when advertis...

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• Sr Machine Learning Manager, Intelligent System Experience

  Machine Learning and AI12. 3. 2026

  LocationVarious locations within San Francisco Bay Area

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  • ShareSr Machine Learning Manager, Intelligent System Experience 200635998-3401

  • Role Number:  200635998-3401
  • Weekly Hours: 40 Hours

  The Apple Intelligence Platform team builds the foundational on-device software infrastructure that powers Apple Intelligence. We develop the APIs, platforms, and systems that enable breakthrough features like Writing Tools, Siri, Visual Intelligence, and Image Playground. Our work spans the full software stack — from low-level inference engines and runtime optimization to high-level platform APIs like the Foundation Models API. Our mission is to build production-ready software platforms that deliver magical experiences to millions of users. We work closely with research teams to understan...

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• Senior Machine Learning Engineer - SIML, ISE

  Machine Learning and AI11. 3. 2026

  LocationCupertino

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  • ShareSenior Machine Learning Engineer - SIML, ISE 200651112-0836

  • Role Number:  200651112-0836
  • 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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• Senior Machine Learning Engineer - SIML, ISE

  Machine Learning and AI11. 3. 2026

  LocationSeattle

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  • ShareSenior Machine Learning Engineer - SIML, ISE 200651112-3337

  • Role Number:  200651112-3337
  • 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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• Proactive Intelligence, Applied Research Scientist — Agentic Systems and Generative Modeling

  Machine Learning and AI11. 3. 2026

  LocationCupertino

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  • ShareProactive Intelligence, Applied Research Scientist — Agentic Systems and Generative Modeling 200651116-0836

  • Role Number:  200651116-0836
  • Weekly Hours: 40 Hours

  AI represents a big opportunity to elevate Apple’s products and experiences for billions of people globally. We are looking for Applied Research Scientists with a background and interest in Agentic Systems. You will be leveraging state-of-the-art Generative models to ship extraordinary products, services, and customer experiences for the iPhone, Mac, Apple Watch, iPad and more. The mission of Proactive Intelligence is to improve Apple platforms by better understanding, anticipating and adapting to user behavior by using machine learning to build phenomenal features that are built right into...

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• ML Applied Scientist, Apple Services Engineering AI/ML

  Machine Learning and AI10. 3. 2026

  LocationSeattle

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  • ShareML Applied Scientist, Apple Services Engineering AI/ML 200650473-3337

  • Role Number:  200650473-3337
  • Weekly Hours: 40 Hours

  The Apple Services Engineering (ASE) organization is one of the most exciting examples of Apple’s long-held passion for combining art with 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 40 languages to more than 170 countries. Our scientists and engineers build secure, end-to-end solutions powered by Artifical Intelligence & Machine Learning. Thanks to Apple’s unique integration of hardwa...

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• AIML - Machine Learning Engineer, MLR

  Machine Learning and AI09. 3. 2026

  LocationCupertino

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  • ShareAIML - Machine Learning Engineer, MLR 200650849-0836

  • Role Number:  200650849-0836
  • Weekly Hours: 40 Hours

  As part of Apple’s Machine Learning Research organization, we do world-class scientific research and build the technologies that will power future products at Apple. The techniques and tools we create will impact ML solutions across Apple, which in turn power most of the features we deliver to billions of consumers worldwide. We are looking for highly motivated, result-oriented engineers with a strong background in system engineering and software development to join our team. In this position you will work with researchers and software engineers across the Machine Learning Research group ...

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• AIML - ML Research Scientist, HCMI

  Machine Learning and AI09. 3. 2026

  LocationSeattle

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  • ShareAIML - ML Research Scientist, HCMI 200642850-3337

  • 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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• Machine Learning Engineer- Health AIML

  Machine Learning and AI06. 3. 2026

  LocationCupertino

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  • ShareMachine Learning Engineer- Health AIML 200650295-0836

  • Role Number:  200650295-0836
  • Weekly Hours: 40 Hours

  The Health AI team is at the forefront of machine learning and health science at Apple. We are a close-knit team of highly accomplished, deeply technical research scientists, software engineers and machine learning engineers passionate about delivering innovative technologies that impact millions of users. We are looking for a senior engineer passionate about solving real-world problems in the health domain that make a difference in our customers' lives.

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• AIML - Sr Machine Learning Engineer, Data and ML Innovation

  Machine Learning and AI06. 3. 2026

  LocationSeattle

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  • ShareAIML - Sr Machine Learning Engineer, Data and ML Innovation 200624190-3337

  • Role Number:  200624190-3337
  • Weekly Hours: 40 Hours

  Are you excited to tackle some of the most ambitious technical challenges in Apple Intelligence? Be involved in collaborating closely with our machine learning researchers, engineers, and data scientists? Together, you will orchestrate groundbreaking research initiatives and develop transformative products designed to build a significant impact for billions of users worldwide! As part of Apple’s AI and Machine Learning org, we encourage and create groundbreaking technology for large-scale ML systems, computer vision, natural language processing, and multi-modal understanding and generat...

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• Engineering Program Manager, Siri and Apple Intelligence Evaluation

  Machine Learning and AI06. 3. 2026

  LocationCupertino

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  • ShareEngineering Program Manager, Siri and Apple Intelligence Evaluation 200649715-0836

  • Role Number:  200649715-0836
  • 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 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 Research Scientist - Health AIML

  Machine Learning and AI04. 3. 2026

  LocationCupertino

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  • ShareMachine Learning Research Scientist - Health AIML 200649925-0836

  • Role Number:  200649925-0836
  • Weekly Hours: 40 Hours

  The Health AI team is at the forefront of machine learning and health science at Apple. We are a close-knit team of research scientists, software engineers and machine learning engineers passionate about delivering innovative technologies that impact millions of users. We are looking for a Machine Learning Research Scientist passionate about solving real-world problems in health and fitness that enrich our customers' lives.

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