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• AIML - Machine Learning Researcher, Foundation Models

  Machine Learning and AI10 gru 2025

  LocationSeattle

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  • ShareAIML - Machine Learning Researcher, Foundation Models 200596935-3337

  • Role Number:  200596935-3337
  • 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 Engineer, Foundation Models

  Machine Learning and AI10 gru 2025

  LocationSeattle

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  • ShareAIML - Machine Learning Engineer, Foundation Models 200617642-3337

  • Role Number:  200617642-3337
  • 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 engineers who are passionate about building systems that push the frontier of deep learning in terms of scaling, efficiency, and flexibility and delight millions of users in Apple products.

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• AIML - Machine Learning Researcher, Foundation Models

  Machine Learning and AI10 gru 2025

  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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• ML Platform Software Development Engineer - Machine Learning Platform & Technology

  Machine Learning and AI10 gru 2025

  LocationSeattle

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  • ShareML Platform Software Development Engineer - Machine Learning Platform & Technology 200635356-3337

  • Role Number:  200635356-3337
  • 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. Bring passion and dedication to your job and there’s no telling what you could accomplish. Do you want to shape the platform that enables the next generation of intelligent experiences on Apple products & services? Do you want to shape the next generation of ML developer experience ? The MLPT Lifecycle team is building groundbreaking technology for next generation of ml model development that will alter how apple consumers interact with their devic...

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• AIML - Machine Learning Researcher, Data and ML Innovation

  Machine Learning and AI09 gru 2025

  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 - Sr. Applied Machine Learning Engineer Answers, Knowledge & Information (AKI)

  Machine Learning and AI09 gru 2025

  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? The Siri and Information Intelligence 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 Engineer, Safety Human Evaluation

  Machine Learning and AI09 gru 2025

  LocationSeattle

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  • ShareAIML - ML Engineer, Safety Human Evaluation 200635768-3337

  • Role Number:  200635768-3337
  • Weekly Hours: 40 Hours

  Join Us in Shaping the Future of Generative AI at Apple! Would you like to play a part in building the next generation of generative AI applications at Apple? We are 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 f...

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• AIML Resident - Machine Learning Platform Technologies (MLPT)

  Machine Learning and AI09 gru 2025

  LocationSeattle

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  • ShareAIML Resident - Machine Learning Platform Technologies (MLPT) 200630802-3337

  • Role Number:  200630802-3337
  • 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. Combining groundbreaking machine learning research with next-generation hardware, our teams take user experiences to the next level.

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• AIML - UI Engineer, Data and ML Innovation

  Machine Learning and AI09 gru 2025

  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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• Software Triage Engineer, Siri Runtime Systems and Interaction

  Machine Learning and AI05 gru 2025

  LocationSeattle

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  • ShareSoftware Triage Engineer, Siri Runtime Systems and Interaction 200635408-3337

  • Role Number:  200635408-3337
  • 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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• ML Software Engineer

  Machine Learning and AI05 gru 2025

  LocationSeattle

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  • ShareML Software Engineer 200634719-3337

  • Role Number:  200634719-3337
  • Weekly Hours: 40 Hours

  Our team builds ML-inference applications and services on Apple Silicon in the datacenter, specifically focusing in recent years on generative AI as part of the Private Cloud Compute component of Apple Intelligence.

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• Quality Assurance Engineer- Siri & AIML Program Office

  Machine Learning and AI05 gru 2025

  LocationSeattle

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  • ShareQuality Assurance Engineer- Siri & AIML Program Office 200635308-3337

  • Role Number:  200635308-3337
  • 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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• Software Engineering Manager, Machine Learning Systems Infrastructure - SIML, ISE

  Machine Learning and AI05 gru 2025

  LocationSeattle

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  • ShareSoftware Engineering Manager, Machine Learning Systems Infrastructure - SIML, ISE 200634805-3337

  • Role Number:  200634805-3337
  • Weekly Hours: 40 Hours

  Do you think Computer Vision and Machine Learning can change the world? Do you think it can transform the way millions of people collect, discover and share the most special moments of their lives? We truly believe it can. And we are looking for hardworking engineers who can contribute to building the ecosystem of tooling necessary to create these exciting technologies. We are the System Intelligent and Machine Learning (SIML) group that provides foundational computer vision and machine learning technologies to Apple’s ecosystem. Our work is behind essential features such as Camera, Text &...

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• AIML Resident - Data Operations Capacity Planning & Analytics

  Machine Learning and AI04 gru 2025

  LocationSeattle

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  • ShareAIML Resident - Data Operations Capacity Planning & Analytics 200630794-3337

  • Role Number:  200630794-3337
  • 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. Combining groundbreaking machine learning research with next-generation hardware, our teams take user experiences to the next level.

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• AIML- Machine Learning Engineer, Machine Learning Platform Technologies

  Machine Learning and AI03 gru 2025

  LocationSeattle

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  • ShareAIML- Machine Learning Engineer, Machine Learning Platform Technologies 200616600-3337

  • Role Number:  200616600-3337
  • 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. Bring passion and dedication to your job and there’s no telling what you could accomplish. Do you want to make Siri and Apple products more intelligent for our users? The Information Intelligence Infrastructure team is building groundbreaking technology for search, natural language processing, artificial intelligence and machine learning. Our infrastructure is the back-bone of Apple Intelligence. It powers the largest Apple foundation models on serv...

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• Senior Machine Learning Efficiency Engineer - SIML, ISE

  Machine Learning and AI03 gru 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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• Apple Intelligence Cloud Performance Engineer

  Machine Learning and AI03 gru 2025

  LocationSeattle

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  • ShareApple Intelligence Cloud Performance Engineer 200631735-3337

  • Role Number:  200631735-3337
  • Weekly Hours: 40 Hours

  Join the Apple Service Engineering (ASE) team and drive innovation that matters! The ASE team builds and provides systems and infrastructure that fuel Apple’s services. As part of this team, you will be responsible for building and integrating technologies that enhance people’s lives. We are also tasked with enabling Apple Intelligence and Private Cloud Compute in the cloud. We are seeking a System Performance Engineer with a proven track record of developing technology that has made a significant impact.

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• Machine Learning Research Engineer (Human Sensing), SIML - ISE

  Machine Learning and AI30 lis 2025

  LocationSeattle

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  • ShareMachine Learning Research Engineer (Human Sensing), SIML - ISE 200634290-3337

  • Role Number:  200634290-3337
  • Weekly Hours: 40 Hours

  The System Intelligence Machine Learning (SIML) organization is looking for Research Engineers with a strong foundation in Machine Learning and Computer Vision to develop the next generation of multi-modal Human Sensing technologies. You will be part of a fast-paced, impact-driven Applied Research organization building foundation models for facial and full-body perception, and working on cutting-edge machine learning that is at the heart of the most loved features on Apple platforms including Apple Intelligence, Camera, Photos, Visual Intelligence, etc. These innovations form the foundation...

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• AIML - Machine Learning Research Scientist, Data and ML Innovation

  Machine Learning and AI21 lis 2025

  LocationSeattle

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  • ShareAIML - Machine Learning Research Scientist, Data and ML Innovation 200633159-3337

  • Role Number:  200633159-3337
  • Weekly Hours: 40 Hours

  Would you like to join a team curious about understanding how foundation models work and to expand their capabilities in scientific domains? We perform and publish novel research and apply our findings to drive product directions. If you like designing clever approaches to understanding complex phenomena and using that knowledge to solve practical problems then this is the position for you.

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• AIML - Machine Learning Engineer- Health AI

  Machine Learning and AI21 lis 2025

  LocationSeattle

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  • ShareAIML - Machine Learning Engineer- Health AI 200633586-3337

  • Role Number:  200633586-3337
  • 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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