The Video Computer Vision org is a centralized applied research and engineering organization responsible for developing real-time on-device Computer Vision and Machine Perception technologies across Apple products. The team is working on exciting technologies for current and future Apple products. We balance research and product to deliver Apple quality, state-of-the-art experiences, innovating through the full stack, and partnering with HW, SW and Algorithm teams to deliver optimized solutions that brings our vision to life.
We're looking for highly self-motivated and hard-working indivi...
Do you have a passion for computer vision and deep learning problems? We are looking for someone who thrives on collaboration and wants to push the boundaries of what is possible today! The Video Computer Vision org is a centralized applied research and engineering organization responsible for developing real-time on-device Computer Vision and Machine Perception technologies across Apple products. Our data scientist will work closely with other members of the Video Computer Vision org to implement model evaluation pipeline, analyze large scale data to help influence product decision and imp...
The AIML Data organization seeks to improve products by using data as the voice of our customers. Within this organization, the Siri Data Engineering team builds systems that process data reliably at scale to generate scalable and high-quality datasets that support confident, data informed decision-making for Siri to be an effective product. We’re looking for exceptional data engineers who are passionate about our product and values; who love working with data at scale, and who are committed to continuously improve. As a part of this group, you will work with petabytes of data daily using d...
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...
Do you want to play a part in the next revolution in large languages models, contribute to products that are redefining mobile and desktop computing, and work with the people who built the intelligent assistant and search products that helps millions of people get things done — just by asking or typing?
The vision for the AIML Data organization is to improve products by using data as the voice of our customers. As a Sr Machine Learning Engineer on the team, you will build algorithms and data applications that leverage the power of data (real and synthetic) to improve model training efficie...
The AIML Data organization seeks to improve products by using data as the voice of our customers. Within this organization, the Siri Data Engineering team builds systems that process data reliably at scale to generate scalable and high-quality datasets that support confident, data informed decision-making for Siri to be an effective product. We’re looking for exceptional data engineers who are passionate about our product and values; who love working with data at scale, and who are committed to continuously improve. As a part of this group, you will work with petabytes of data daily using d...
Would you like to work on a product that is making complex technology easy to use for everyone? Implement groundbreaking user interactions building on innovative Artificial Intelligence & Machine Learning techniques. Create new features & technologies used by millions. We are looking for engineers excited about changing the future of how people interact with powerful technology.
Join the Siri UI/UX team to work alongside outstanding engineers passionate about creating fabulous customer experience. This team is responsible for defining and implementing the core user experience for Siri.
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...
Are you curious what the bleeding edge of AIML research can bring to the mix of world class design, most advanced hardware and the greatest software stack to deliver amazing user experience? Join us to build the next generation of Siri Communications! Get challenged with delivering AI based products that are private, safe and dependable to millions of people around the world. Become a part of an amazing group of people not only on our team, but across the entire company, as our products are highly cross-functional. We enable users to communicate whether they are on-the-go, exercising, drivi...
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 smarter for our users?
The Information Intelligence teams are building groundbreaking technology for algorithmic search, machine learning, natural language processing, and artificial intelligence. The features we build are redefining how hundreds of millions of people use their computers and mobile devices to search ...
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!
Whether you are looking for the nearest gas station, finding a transit route that gets you to the big game before kickoff, or selecting a unique restaurant for dinner with friends, Maps will play a significant role in your life.
Our mission in Apple Maps is to build the world's best map for our users.
We’re seeking an experienced Science leader with deep expertise in Generative AI, Large Language Models, Deep Learning and Machine Learning. The ideal candidate will be capable of effectively guiding a team, collaborating cross functionally, and helping shape our product vision with applica...
Do you get excited by driving product impact via measurement and evaluation, for products and services used by hundreds of millions of people globally? The vision for the AIML Data and ML Innovation organization is to improve products by using data as the voice of our customers.
We are seeking a passionate and experienced Sr Software Data Infrastructure Engineer to work on data processing for Siri and Search. You will build a unified and groundbreaking data processing framework on device and server using Spark, and/or Flink. You will collaborate closely with other teams to transform raw d...
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...
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...
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.