Camera Algorithm team at Apple is dedicated to advancing the state-of-the-art in camera technologies and building best image/video experience in the world.
We are seeking machine learning algorithm engineers who are passionate for excellent image and video quality and camera applications to enrich people’s life. In this role, you will be working on core camera technologies, researching and developing computer vision and machine learning solutions for all cameras in Apple products. You will work closely with world-class experts in hardware and software teams and be the source of ideas to set...
The display technology team features a collaborative environment with creative, smart talents, world-class products and cutting-edge technologies. Team provides opportunities for individuals to contribute across a wide spectrum of disciplines. Best in class engineering excellence and thoroughness are expected and encouraged. Innovation, IP and patent creation are highly supported and valued. Pushing the envelope to design and ship innovative products with best-in-class technologies and user experiences are the main goals of the display technology team
The China Vision Lab (CVL) located in Beijing, is responsible for developing real-time on-device Computer Vision and Machine Perception technologies across Apple products. At Apple, you will have the opportunity to work together with the smartest people in the world and make great contribution to the most popular products in the world.
The ideal candidate should possess the self-motivation, curiosity, and initiative to achieve the goals. The candidate should be a lifelong learner passionately seeking to improve themselves and the quality of their work. If you are the kind of people who ar...
If you are the kind of people who are passionate on pursuing excellence, embracing challenges, enjoying work with others, learning new things along the way, Apple is the right place for you. The ideal candidate will possess the self-motivation, curiosity, and initiative to achieve those goals. Analogously, the candidate is a lifelong learner who passionately seeks to improve themselves and the quality of their work.