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55 Result(s)
- Role Number: 200672810-3956
- Weekly Hours: 40 Hours
Join the engineering team that delivers core algorithms powering Vision Pro’s hand and gaze input and AI-powered experiences. Human Interface Devices (HID) is looking for a Machine Learning Engineer with experience developing realtime, resource constrained models for computer vision applications. We’re a mix of signal processing, machine learning, and interaction algorithm engineers united by a passion for building intuitive user interfaces and intelligence features for the next generation of computing devices. Across Apple’s products, HID bridges the gap between sensing technologies and...
Submit CV- Role Number: 200682044-3543
- Weekly Hours: 40 Hours
Are you passionate about Machine Learning and AI, and eager to apply your expertise to solve real-world problems at Apple’s incredible scale? Do you want to see your work translated into direct impact on iPhone, iPad, Mac, AirPods, Watch, and more? Come join us in in developing, shipping, and maintaining AI/ML and Generative AI services — including the infrastructure, evaluation pipelines, and integration workflows that provide cutting-edge features to support Apple’s hardware product development teams, helping bring amazing, groundbreaking products and innovations to life. We are the Huma...
Submit CV- LocationSunnyvaleActions
- Role Number: 200681077-3956
- Weekly Hours: 40 Hours
The incredible potential of multimodal foundation models and large language models has unlocked machine learning applications that were previously thought infeasible. The Video Computer Vision (VCV) group is looking for a highly motivated and skilled Machine Learning Systems Engineer to help us ship cutting-edge computer vision technology on Apple devices. The VCV organization has pioneered groundbreaking features like FaceID/FaceKit, Gaze/Hand Gesture Control, Body Tracking, and 2D/3D Scene Understanding fundamentally changing how millions of users interact with technology. We seamlessl...
Submit CV - LocationCambridgeActions
- Role Number: 200680745-1242
- Weekly Hours: 40 Hours
Imagine what you could do here. At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, smart people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same passion for innovation that goes into our products also applies to our practices strengthening our commitment to leave the world better than we found it. Join us to help delive...
Submit CV - LocationCambridgeActions
- Role Number: 200680748-1242
- Weekly Hours: 40 Hours
Imagine what you could do here. At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, smart people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same passion for innovation that goes into our products also applies to our practices strengthening our commitment to leave the world better than we found it. Join us to help delive...
Submit CV - LocationSunnyvaleActions
- Role Number: 200681055-3956
- Weekly Hours: 40 Hours
The incredible potential of multimodal foundation models and large language models has unlocked machine learning applications that were previously thought infeasible. The Video Computer Vision (VCV) group is looking for a highly motivated and skilled Machine Learning Systems Engineer to help us ship cutting-edge computer vision technology on Apple devices. The VCV organization has pioneered groundbreaking features like FaceID/FaceKit, Gaze/Hand Gesture Control, Body Tracking, and 2D/3D Scene Understanding fundamentally changing how millions of users interact with technology. We seamlessly ...
Submit CV Applied Data Scientist and Visualization Specialist - Hardware Engineering Product Design
Hardware29 aug. 2026LocationSunnyvaleActions- Role Number: 200680059-3956
- Weekly Hours: 40 Hours
The Data Science and Visualization (DataViz) team in Hardware Engineering at Apple is seeking an enthusiastic team player to join us as an Applied Data Scientist and Visualization Specialist. We are a small, supportive, inclusive, and dynamic team that works on a variety of problems in engineering and research, spanning analysis, visualization, 3D geometry, and more. The common thread through all of our work is transforming complex data into something understandable and actionable. Our unique position within the organization allows us to collaborate with teams across a wide range of Apple ...
Submit CV- Role Number: 200680655-3956
- Weekly Hours: 40 Hours
We are looking for a highly motivated Machine Learning Evaluation Engineer to join our team and help define and drive the evaluation of advanced machine learning and computer vision technologies. You will work closely with algorithm, data, and engineering teams to build scalable evaluation methodologies, uncover model weaknesses, and turn complex data into actionable insights. You will play a key role in ensuring that our ML systems deliver high-quality, robust experiences across diverse real-world scenarios. The ideal candidate combines strong fundamentals in classical machine learning an...
Submit CV- Role Number: 200679909-0836
- Weekly Hours: 40 Hours
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. The Video Engineering group is looking for a Software Engineer with a strong emphasis on data application development, data pipeline engineering, and database systems. This is a hands-on, fast-paced role at the intersection ...
Submit CV- Role Number: 200679761-0157
- Weekly Hours: 40 Hours
At Apple, we strive every single day to craft products that enrich people’s lives. Our successes are the result of skilled domain experts working in an environment which encourages creativity, collaboration, and re-thinking of old problems in new ways! As a member of the Satellite Connectivity Group, you will work on the satellite network that enables connectivity to iPhone and Watch Ultra when off the grid without cellular or Wi-Fi coverage. Every day, Apple customers use Emergency SOS, Roadside assistance, and Messages via satellite to stay connected when they have no other means to commu...
Submit CV- Role Number: 200679514-0836
- Weekly Hours: 40 Hours
Apple's Human Interface Devices (HID) group develops innovative ways to interact with Apple products. We work on nearly every product line, delivering technologies like AirPods, iPhone, iPad, Mac, and other future Apple input technologies. We're looking for an algorithms engineer to help build the next generation of human-computer interactions from the ground up. We are an eclectic group with backgrounds in computer science, controls, human factors, signal processing, and more. As a member of this team, you will work in the earliest stages of development, whether defining entirely new in...
Submit CV- Role Number: 200679514-3956
- Weekly Hours: 40 Hours
Apple's Human Interface Devices (HID) group develops innovative ways to interact with Apple products. We work on nearly every product line, delivering technologies like AirPods, iPhone, iPad, Mac, and other future Apple input technologies. We're looking for an algorithms engineer to help build the next generation of human-computer interactions from the ground up. We are an eclectic group with backgrounds in computer science, controls, human factors, signal processing, and more. As a member of this team, you will work in the earliest stages of development, whether defining entirely new in...
Submit CV- Role Number: 200618357-0836
- Weekly Hours: 40 Hours
Want to work on cutting edge technology that keeps the customer front and center? The Video Engineering group at Apple is responsible for creating the image/video core technologies used in almost all Apple products and services. As a machine learning engineer, you’ll be developing machine learning based technologies for the image and video domain. As a member of a fast-paced team, you will also have the unique and exciting opportunity to shape upcoming products that have direct customer impact and will delight and inspire millions of people every day!
Submit CV- Role Number: 200676385-0836
- Weekly Hours: 40 Hours
Do you love taking on big challenges that require exceptionally creative solutions? Do you deeply understand how an incredible camera experience should work? As part of our Camera Technologies group, you’ll help design the innovative technology that allows each generation of Apple products to produce photos even more incredible than the last. You’ll design and develop groundbreaking ideas for everything involved in our camera systems, from sensor to lens. You’ll collaborate with teams across Apple to research, design, develop, test, and qualify camera hardware for Apple products. Together, ...
Submit CV- Role Number: 200676379-0836
- Weekly Hours: 40 Hours
Do you love taking on big challenges that require exceptionally creative solutions? Do you deeply understand how an incredible camera experience should work? As part of our Camera Technologies group, you’ll help design the innovative technology that allows each generation of Apple products to produce photos even more incredible than the last. You’ll design and develop groundbreaking ideas for everything involved in our camera systems, from sensor to lens. You’ll collaborate with teams across Apple to research, design, develop, test, and qualify camera hardware for Apple products. Together, ...
Submit CV- Role Number: 200678455-3760
- Weekly Hours: 40 Hours
Imagine what you could do here. At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, smart people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same passion for innovation that goes into our products also applies to our practices, strengthening our commitment to leave the world better than we found it. Join us to help deliv...
Submit CV- Role Number: 200678007-3956
- Weekly Hours: 40 Hours
The Video Computer Vision and Video Engineering teams are centralized applied research and engineering organizations responsible for developing real-time on-device Computer Vision, Machine Perception, and Image Quality technologies for Apple products. We balance research and product development to deliver Apple quality, state-of-the-art experiences. We innovate across the full stack and partner with hardware and software teams to influence SW architecture, sensors, silicon, and PD/ID roadmaps that bring our vision to life.
Submit CV- Role Number: 200678003-3956
- Weekly Hours: 40 Hours
The Video Computer Vision and Video Engineering teams are centralized applied research and engineering organizations responsible for developing real-time on-device Computer Vision, Machine Perception, and Image Quality technologies for Apple products. We balance research and product development to deliver Apple quality, state-of-the-art experiences. We innovate across the full stack and partner with hardware and software teams to influence SW architecture, sensors, silicon, and PD/ID roadmaps that bring our vision to life.
Submit CV- Role Number: 200677404-3956
- Weekly Hours: 40 Hours
At Apple, we're on the cutting edge of delivering transformative experiences through Artificial Intelligence. If you're passionate about pushing the boundaries of AI and hardware optimization, we want you to join our team! As a Machine Learning System Software Engineer on the Apple Neural Engine (ANE) team, you'll work to bring high-performance, low-power AI solutions to life on iconic Apple products like the Vision Pro, iPhone, iPad, Mac, and more.
Submit CV- Role Number: 200677639-3543
- Weekly Hours: 40 Hours
At Apple, we craft experiences that are intuitive, powerful, and deeply personal. Video is central to this mission, powering everything from spectacular cinematic content on Apple TV+, seamless communication on FaceTime, and the groundbreaking camera capture capabilities and vibrant memories on iPhone. The innovation in video compression and processing algorithms isn't just a technical detail; it's the invisible magic that enables unparalleled visual quality, efficient delivery, and immersive user experiences across our entire product ecosystem. It's within this collaborative environment, w...
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