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108 Result(s)
- Role Number: 200590773
- Weekly Hours: 40 Hours
Are you passionate about building extraordinary products and embracing state of art techniques? It's central to all that we do! The goal of the Apple Services GenAI & ML Frameworks team is to take personalization, search, and more to the next level of intelligence and accuracy using advanced ML and statistical techniques.
Submit ResumeProactive Intelligence, Applied Research Scientist — Agentic Systems and Generative Modeling
Machine Learning and AIApr 21, 2025Cupertino- Role Number: 200600644
- 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...
Submit Resume- Cupertino
- Role Number: 200600660
- Weekly Hours: 40 Hours
At Apple, we strive every day to create products that enrich people’s lives. Our Advertising Platforms group enables users worldwide to discover new content seamlessly while empowering publishers and developers to promote and monetize their work. Our technology powers advertising in the App Store and Apple News, delivering highly-performant, privacy-first solutions that set new industry standards. We're seeking an adventurous and strategic leader to drive innovation in Ads Campaign Optimization. This role requires a deep understanding of Ad network behavior and the ability to develop and pr...
Submit Resume - Santa Clara
- Role Number: 200585851
- Weekly Hours: 40 Hours
We are seeking a talented and driven Embedded Software Engineer to join our team in developing, automating, and maintaining high-performance software solutions for sensor systems and autonomous technologies. This role is ideal for someone passionate about embedded systems, real- time applications, and continuous integration of innovative hardware and software components.
Submit Resume - Role Number: 200600296
- Weekly Hours: 40 Hours
Are you passionate about building groundbreaking Generative AI experiences that will impact billions of users? Do you thrive in collaborative environments focused on delivering innovative AI-driven features? Join the Agent Systems team within the Apple Intelligence Platform. We focus on developing core platform capabilities that enable teams to develop intelligent, context-aware, and personalized user experiences powered by Generative AI. Our team researches, develops, and deploys agent systems and infrastructure that enable advanced AI interactions across Apple products. This role offers...
Submit Resume- Role Number: 200599880
- Weekly Hours: 40 Hours
The Video Computer Vision organization is working on exciting technologies for future Apple products leveraging foundation models and multi-modal inputs. Our team delivers computer vision and machine learning algorithms that power many Apple technologies around human-centered AI. In this role, you will collaborate with SW, HW, data, and ML teams to deliver Apple quality experiences to our users.
Submit Resume- Role Number: 200599857
- Weekly Hours: 40 Hours
The Video Computer Vision organization is working on exciting technologies for current, such as the Apple Vision Pro, and future Apple products. We are looking for highly skilled and passionate engineers to address challenging problems at the boundaries of human perception and machine intelligence. In this role, you will collaborate closely with experts from a wide range of backgrounds whose creativity and passion has already led to the development of groundbreaking algorithms and whose ongoing designs and explorations will shape the future of mixed reality redefining the way we interact wi...
Submit ResumeSenior Machine Learning Engineer, ML Systems Evaluation Engineering
Machine Learning and AIApr 15, 2025Seattle- Role Number: 200573127
- 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...
Submit Resume- Role Number: 200578228
- Weekly Hours: 40 Hours
We are looking for a highly motivated and experienced Senior Embedded ML Engineer to join our team focused on enabling cutting-edge machine learning capabilities on resource-constrained edge devices. In this role, you will be at the forefront of innovation as we bridg the gap between state-of-the-art ML models and the realities of low-power, real-time, embedded hardware.
Submit ResumeSenior Multimodal Generative Modeling Research Engineer - SIML, ISE
Machine Learning and AIApr 09, 2025Seattle- Role Number: 200597978
- Weekly Hours: 40 Hours
Do you believe that generative models can fundamentally change how people interact with devices? Are you excited by the possibility of connecting people to unprecedented levels of creativity? Come join the team that turned cutting edge Generative AI research into compelling user experiences through Apple Intelligence. We are part of the Intelligent System Experiences team at Apple and work on the core technology behind Genmoji, Image Playground and Image Wand. From web-scale datasets to distributed training of foundation models, application specific adapters to on-device optimizations, you ...
Submit Resume- Seattle
- Role Number: 200594275
- Weekly Hours: 40 Hours
Do you believe that generative models can fundamentally change how people interact with devices? Are you excited by the possibility of connecting people to unprecedented levels of creativity? Come join the team that turned cutting edge Generative AI research into compelling user experiences through Apple Intelligence. We are part of the Intelligent System Experiences team at Apple and work on the core technology behind Genmoji, Image Playground and Image Wand. From web-scale datasets to distributed training of foundation models, application specific adapters to on-device optimizations, you ...
Submit Resume - Role Number: 200590398
- Weekly Hours: 40 Hours
Do you get excited by driving product impact via data and evaluation, for products and services used by hundreds of millions of people globally? The vision for the AIML Data is to improve products by using data as the voice of our customers. Within this organization the mission of the team is to inform product evolution through measurement, evaluation, and analysis of the user experience. You will partner with Search engineering teams to improve search quality and guide feature development with data, to deliver amazing search experiences across iPhone, iPad, HomePod, Mac, Watch, tv, acros...
Submit Resume- Santa Clara
- Role Number: 200598401
- Weekly Hours: 40 Hours
Visual Intelligence is a set of capabilities in Apple Devices that enable our users to learn more about and interact with the places and objects around them using the device camera. Our team builds the core technologies and software systems that power these capabilities. This is a multidisciplinary field in its early days, so you will have a chance to collaborate with teams across Apple and shape impactful intelligent experiences!
Submit Resume - Role Number: 200597542
- Weekly Hours: 40 Hours
The Video Computer Vision organization is working on exciting technologies for future Apple products. Our team delivers computer vision and machine learning algorithms that power many Apple technologies like human understanding and human intelligence algorithms with applications for digital humans, health and AI. In this role, you will work closely with our team of experts in computer graphics, computer vision and machine learning to design and build solutions to previously unsolved challenges for Apple products and bring high impact to millions of users.
Submit Resume- Role Number: 200597543
- Weekly Hours: 40 Hours
The Video Computer Vision organization is working on exciting technologies for future Apple products. Our team delivers computer vision and machine learning algorithms that power many Apple technologies like human understanding and human intelligence algorithms with applications for digital humans, health and AI. In this role, you will work closely with our team of experts in computer graphics, computer vision and machine learning to design and build solutions to previously unsolved challenges for Apple products and bring high impact to millions of users.
Submit Resume- Role Number: 200595989
- Weekly Hours: 40 Hours
Imagine what you could do here. At Apple, groundbreaking ideas quickly turn into extraordinary experiences for billions of people. Do you thrive in tackling complex challenges that redefine how AI is built at scale? Are you passionate about designing and delivering seamless, high-impact product experiences alongside world-class engineering, design, and operations teams? Our team plays a critical role in Apple’s ability to deliver high-quality, human-generated machine learning data at scale. This work powers Apple Intelligence, Siri, Vision Pro and other flagship experiences that define the...
Submit Resume- Role Number: 200595744
- Weekly Hours: 40 Hours
The Video Computer Vision organization is working on exciting technologies for future Apple products. Our team delivers computer vision and machine learning algorithms that power many Apple technologies like human understanding and human intelligence algorithms with applications for digital humans, health and AI. In this role, you will work closely with our team of experts in computer graphics, computer vision and machine learning to design and build solutions to previously unsolved challenges for Apple products and bring high impact to millions of users.
Submit Resume- Role Number: 200598210
- 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- Role Number: 200598203
- 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- New York City
- Role Number: 200598207
- 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