Imagine what you could do here. The people here at Apple don’t just create products — they create the kind of wonder that’s revolutionized entire industries. It’s the diversity of those people and their ideas that inspires the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. Join Apple, and help us leave the world better than we found it.
We are looking for a highly skilled and experienced Machine Learning and Generative AI engineer who has a robust understanding of Large Language Models and Generative AI to help work on exci...
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 and machine learning engineers focused on delivering innovative technologies that impact millions of users. We are looking for an applied ML engineer passionate about solving real-world problems in the health domain that make a difference in our customers' lives.
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 ML Research Team does world-class research and development across a wide range of domains including understanding and improving ML, addressing bias and fairness in algorithms, privacy and federated learning, embodied and interactive ML systems, and more. 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 loo...
At Apple, we believe in hard work, a fun environment, and the creativity and innovation that only comes about when hardworking people from diverse backgrounds approach problems from varying perspectives The people here at Apple don’t just build products — they craft the kind of wonder that’s revolutionized entire industries. It’s the diversity of those people and their ideas that encourages the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. Join Apple, and help us leave the world better than we found it! Building this enviro...
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 ML Research Team does extraordinary research and development across a wide range of domains including understanding and improving ML, addressing bias and fairness in algorithms, privacy and federated learning, embodied and interactive ML systems, computer vision, and more.
The techniques and tools we build will change ML solutions across Apple, which in turn power most of the features we deliver to billions of consumers w...
We are seeking a highly skilled and motivated Applied ML Scientist with expertise in Generative AI to join our dynamic team. In this role, you will be responsible for developing innovative and practical AI applications that drive enterprise transformation. Your work will have a direct impact on optimizing operations, enhancing productivity, and fostering innovation within our organization. The Applied Machine Learning Data Science team in IS&T are a group of passionate applied ML scientists from various disciplines with extensive track records in both academia and industry.
We work on m...
Apple’s AIML team is looking for a talented Research Engineer to advance the state of the art in evaluation and development of modern machine learning models with a focus on real-world use of artificial intelligence. The candidate will use their expertise to develop interactive systems and strategies that make our AI systems more safe, transparent, and understandable.
For this role, you need a keen interest in rigorous evaluation, deep understanding of modern ML and AI technologies, strong prototyping and development skills, and the ability to communicate complex algorithms and methods in ...
Our team works at the intersection of modern machine learning and robotics to shape the AI that will power the next generation of Apple products. We are looking for innovative and hardworking ML and robotics researchers and engineers that help us research, define, and develop complex intelligent robotic systems and experiences in the real world. Join Apple and help us leave the world better than we found it! In this position, you will be working on challenging AI and robotic research problems with an innovative and cross-functional team.
Want to own the platform that enables the next generation of intelligent experiences on Apple products and services? Our group develops the platform that Apple uses for developing machine learning, artificial intelligence, and computer vision applications. As a machine learning engineer on our team, you will design and build software systems to enable the future of Apple's intelligent products. Join our team of nerdy, pragmatic, proficient, product-focused engineers!
At Apple, the AIML - On-Device Machine Learning group is responsible for accelerating the creation of amazing on-device ML experiences, and we are looking for a tenured software engineer to help define and implement features that accelerate and compress large state of the art (SoTA) models (e.g., LLMs) in our on-device inference stack. We are a dedicated team working on ground breaking technology in the field of natural language processing, computer vision and artificial intelligence. We are designing, developing, and optimizing large-scale language/vision/multi-modal models that power on-d...
We are a group of researchers and engineers at the forefront of innovations to improve Apple’s business planning through market, sales and supply chain optimizations. Our goal is to drive topline impact and strategic value for Apple - using interdisciplinary innovations. As part of our team you will play a pivotal role to apply econometric, statistical and Machine Learning methods in Apple’s product lifecycle across Finance, Sales and Operations, collaborating with world-class domain experts as well as deep-learning researchers. Your diversity of perspectives from economics and statistics e...
Imagine what you could do here. The people here at Apple don’t just create products — they create the kind of wonder that’s revolutionized entire industries. It’s the diversity of those people and their ideas that inspires the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. Join Apple, and help us leave the world better than we found it.
We are looking for a highly skilled and experienced Machine Learning and Generative AI engineer who has a robust understanding of Large Language Models and Generative AI to help work on exci...
Machine Learning and Platforms (MLPT) team is in Apple’s AIML Org. MLPT's On-device machine learning (ML) team builds the inference stack that runs all ML networks on Apple Silicon. In this team, we write the converter and compiler that translate a source network definition to one that execution units in hardware can interpret. We write tools for network optimizations, write the runtime that schedules and manages the execution on hardware as well as provide guidance for hardware/software co-design of current and future workloads alongside hardware accelerators. The team works cross-function...
Play a part in building the next revolution of machine learning technology. We're looking for passionate mid-level and senior researchers to work on ambitious curiosity driven long-term research projects that will impact the future of Apple, and our products. In this role, you'll have the opportunity to work on innovative foundational research in machine learning.
As a member of the team, you will be inspired by a diversity of challenging problems, collaborate with world-class machine learning engineers and researchers to impact the future of Apple products, and publish some of your result...
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.
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.
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.
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.
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.
Machine Learning and Platforms (MLPT) team is in Apple’s AIML Org. MLPT's On-device machine learning (ML) team builds the inference stack that runs all ML networks on Apple Silicon. In this team, we write the converter and compiler that translate a source network definition to one that execution units in hardware can interpret. We write tools for network optimizations, write the runtime that schedules and manages the execution on hardware as well as provide guidance for hardware/software co-design of current and future workloads alongside hardware accelerators. The team works cross-function...