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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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• AI Safety - Machine Learning and Applied Research

  Machine Learning and AI12. 3. 2026

  LocationCupertino

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  • ShareAI Safety - Machine Learning and Applied Research 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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• AI Safety - Machine Learning and Applied Research

  Machine Learning and AI12. 3. 2026

  LocationPittsburgh

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  • ShareAI Safety - Machine Learning and Applied Research 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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• AI Safety - Machine Learning and Applied Research

  Machine Learning and AI12. 3. 2026

  LocationSan Francisco

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  • ShareAI Safety - Machine Learning and Applied Research 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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• AI Safety - Machine Learning and Applied Research

  Machine Learning and AI12. 3. 2026

  LocationSeattle

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  • ShareAI Safety - Machine Learning and Applied Research 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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• Machine Learning Research Manager, Speech and Multimodal Modeling

  Machine Learning and AI12. 3. 2026

  LocationCambridge

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  • ShareMachine Learning Research Manager, Speech and Multimodal Modeling 200632185-1242

  • Role Number:  200632185-1242
  • Weekly Hours: 40 Hours

  The Speech Team within the Siri organization drives major speech recognition, synthesis and speech to speech model changes for various features deeply embedded throughout Apple’s ecosystem. Our team owns on-device accurate and private speech recognition models across various systems on chip and hardware platforms with diverse compute restrictions, enabling prominent production user experiences! This team drives core technology advances while fulfilling major production needs, including developing speech to speech experiences and the underlying multimodal foundation model technology for cur...

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• Machine Learning Research Manager, Speech and Multimodal Modeling

  Machine Learning and AI12. 3. 2026

  LocationCupertino

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  • ShareMachine Learning Research Manager, Speech and Multimodal Modeling 200632185-0836

  • Role Number:  200632185-0836
  • Weekly Hours: 40 Hours

  The Speech Team within the Siri organization drives major speech recognition, synthesis and speech to speech model changes for various features deeply embedded throughout Apple’s ecosystem. Our team owns on-device accurate and private speech recognition models across various systems on chip and hardware platforms with diverse compute restrictions, enabling prominent production user experiences! This team drives core technology advances while fulfilling major production needs, including developing speech to speech experiences and the underlying multimodal foundation model technology for cur...

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• AIML - Machine Learning Engineer, MIND

  Machine Learning and AI11. 3. 2026

  LocationSeattle

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  • ShareAIML - Machine Learning Engineer, MIND 200651341-3337

  • Role Number:  200651341-3337
  • Weekly Hours: 40 Hours

  As a Machine Learning Engineer in the Machine Intelligence Neural Design (MIND) team, you will have an opportunity to be part of an ML innovation organization within Apple that has its roots in the computer vision research community. The team is well positioned for strategic contributions in the short-term (on well-known Apple products) and in the long-term (on highly ambitious, high-risk, high-reward projects). This role has a strong focus on shipping ML-based features and products. You'll innovate in the entire end-to-end ML production pipeline. This includes but is not limited to; crafti...

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• Applied Research Engineer — Multimodal AI

  Machine Learning and AI11. 3. 2026

  LocationSunnyvale

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  • ShareApplied Research Engineer — Multimodal AI 200649931-3956

  • Role Number:  200649931-3956
  • Weekly Hours: 40 Hours

  The Video Computer Vision (VCV) organization is a centralized applied research and engineering team developing real-time, on-device Computer Vision and Machine Perception technologies across Apple products. Within VCV, the Multimodal Intelligence team builds next-generation multimodal AI systems that combine large language models, multimodal LLMs, and foundation models to create intelligent systems capable of understanding, reasoning, and acting across language, vision, audio, and tools. We develop multimodal agentic systems deeply integrated into the Apple ecosystem, partnering across hard...

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• Research Engineer - Special Projects

  Machine Learning and AI11. 3. 2026

  LocationSanta Clara

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  • ShareResearch Engineer - Special Projects 200651094-3760

  • Role Number:  200651094-3760
  • Weekly Hours: 40 Hours

  We're seeking research engineers to build infrastructure for breakthrough innovations in AI agents, reinforcement learning, and simulation environments. You will design and implement high-quality data pipelines, simulation systems, and tooling that enable cutting-edge agent research. You will work in an organization of world-class machine learning researchers and engineers. Our work powers technologies across the Apple ecosystem and is published in the most selective scientific journals and conferences.

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• Research Engineer - Special Projects

  Machine Learning and AI11. 3. 2026

  LocationSeattle

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  • ShareResearch Engineer - Special Projects 200651094-3337

  • Role Number:  200651094-3337
  • Weekly Hours: 40 Hours

  We're seeking research engineers to build infrastructure for breakthrough innovations in AI agents, reinforcement learning, and simulation environments. You will design and implement high-quality data pipelines, simulation systems, and tooling that enable cutting-edge agent research. You will work in an organization of world-class machine learning researchers and engineers. Our work powers technologies across the Apple ecosystem and is published in the most selective scientific journals and conferences.

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• Applied Machine Learning Research Engineer - Multimodal LLMs for Human Understanding

  Machine Learning and AI10. 3. 2026

  LocationSunnyvale

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  • ShareApplied Machine Learning Research Engineer - Multimodal LLMs for Human Understanding 200630862-3956

  • Role Number:  200630862-3956
  • 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 Applied Machine Learning Research Engineer to join our team in the Video Computer Vision group and help us push the boundaries of human understanding. The Video Computer Vision org has pioneered human-centric real-time features such as FaceID, FaceKit, and Gaze and Hand gesture control which have changed the way mil...

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• Machine Learning Engineer - Generative AI , SIML

  Machine Learning and AI10. 3. 2026

  LocationCupertino

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  • ShareMachine Learning Engineer - Generative AI , SIML 200651009-0836

  • Role Number:  200651009-0836
  • Weekly Hours: 40 Hours

  Are you interested in creating products that use machine learning and computer vision in novel and interactive ways? Are you looking to apply your expertise to produce transformative features like Image Playground, Live Text, and Scribble? Do you want to use and build generative models to create highly visible products that are getting into the hands of hundreds of millions of users? We are an applied machine learning team seeking a motivated research engineer to help develop the future of ML models to power products around text, image, and freeform drawing recognition and generation. We wo...

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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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• Staff Applied Research and ML , Responsible AI and Safety

  Machine Learning and AI09. 3. 2026

  LocationCupertino

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  • ShareStaff Applied Research and ML , Responsible AI and Safety 200650850-0836

  • Role Number:  200650850-0836
  • Weekly Hours: 40 Hours

  Play a part in building the next generation of generative AI applications at Apple. We’re looking for AI Leaders, Scientists, Engineers and Researchers to tackle ambitious projects that will impact the future of Apple and our products.

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• Staff Applied Research and ML , Responsible AI and Safety

  Machine Learning and AI09. 3. 2026

  LocationSeattle

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  • ShareStaff Applied Research and ML , Responsible AI and Safety 200650850-3337

  • Role Number:  200650850-3337
  • Weekly Hours: 40 Hours

  Play a part in building the next generation of generative AI applications at Apple. We’re looking for AI Leaders, Scientists, Engineers and Researchers to tackle ambitious projects that will impact the future of Apple and our products.

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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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• 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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