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• AIML - Machine Learning Researcher, Data and ML Innovation

  Machine Learning and AI23 de ene de 2026

  LocationSeattle

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  • ShareAIML - Machine Learning Researcher, Data and ML Innovation 200633208-3337

  • Role Number:  200633208-3337
  • Weekly Hours: 40 Hours

  The AIML Multimodal Foundation Model Team is pioneering next-generation intelligent agent technologies that combine multimodal reasoning, tool-use, and visual understanding. Our innovative features redefine how hundreds of millions of people utilize their computers and mobile devices for search and information retrieval. Our universal search engine powers search capabilities across a range of Apple products, including Siri, Spotlight, Safari, Messages, and Lookup. Additionally, we develop cutting-edge generative AI technologies based on multimodal large language models to enable innovative ...

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• AIML - Machine Learning Engineer, Foundation Model Services

  Machine Learning and AI22 de ene de 2026

  LocationSeattle

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  • ShareAIML - Machine Learning Engineer, Foundation Model Services 200620972-3337

  • 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 AI21 de ene de 2026

  LocationSeattle

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  • ShareAIML - Sr. Applied Machine Learning Engineer - Answers, Knowledge & Information (AKI) 200632366-3337

  • 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 AI21 de ene de 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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• AIML - Machine Learning Researcher, Foundation Models

  Machine Learning and AI21 de ene de 2026

  LocationSeattle

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  • ShareAIML - Machine Learning Researcher, Foundation Models 200623739-3337

  • 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 AI20 de ene de 2026

  LocationSeattle

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  • ShareAIML - Machine Learning Researcher, Foundation Models 200641998-3337

  • 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. ML Infrastructure Engineer, ML Compute

  Machine Learning and AI20 de ene de 2026

  LocationSeattle

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  • ShareSr. ML Infrastructure Engineer, ML Compute 200599667-3337

  • 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 AI16 de ene de 2026

  LocationSeattle

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  • ShareAIML - ML Researcher, AFM 200641993-3337

  • 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 AI14 de ene de 2026

  LocationSeattle

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  • ShareASE - Machine Learning Engineer, MLPT 200641779-3337

  • 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 AI14 de ene de 2026

  LocationSeattle

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  • ShareSr Applied Scientist, AI/ML Evaluation Quality, Apple Services Engineering 200637238-3337

  • 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 AI14 de ene de 2026

  LocationSeattle

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  • ShareSenior Machine Learning Engineer, Apple Intelligence Data Platform 200625093-3337

  • 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 AI13 de ene de 2026

  LocationSeattle

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  • ShareASE - Machine Learning Engineer, MLPT 200641263-3337

  • 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 AI12 de ene de 2026

  LocationSeattle

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  • ShareSr. Machine Learning Engineer – Recommendations & Personalization (Feature Engineering) 200641184-3337

  • 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, ...

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• AIML - UI Engineer, Data and ML Innovation

  Machine Learning and AI10 de ene de 2026

  LocationSeattle

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  • ShareAIML - UI Engineer, Data and ML Innovation 200634538-3337

  • 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 AI09 de ene de 2026

  LocationSeattle

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  • ShareAIML - Sr Applied AI Scientist - GenAI Model Autograding, Evaluation 200637211-3337

  • 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 AI06 de ene de 2026

  LocationSeattle

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  • ShareAIML - Sr Engineering Program Manager, Foundation Models 200639945-3337

  • 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 AI02 de ene de 2026

  LocationSeattle

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  • ShareMachine Learning Manager, Maps Search 200628873-3337

  • 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 AI17 de dic de 2025

  LocationSeattle

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  • ShareSenior Machine Learning Efficiency Engineer - SIML, ISE 200634806-3337

  • 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 AI17 de dic de 2025

  LocationSeattle

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  • ShareOn-Device Machine Learning Integration Engineer 200636740-3337

  • 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 AI16 de dic de 2025

  LocationSeattle

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  • ShareAIML - ML Researcher, AFM 200607600-3337

  • 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.

  Submit Resume