ML Video Codec Engineer

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 isnt just a technical detail; its the invisible magic that enables unparalleled visual quality, efficient delivery, and immersive user experiences across our entire product ecosystem. Its within this collaborative environment, where diverse imaginations come together to make each other's ideas stronger, that we create something truly wonderful and share it with the world. Here, you'll do more than join something - you'll add something! As a Video Codec Algorithm Engineer within our small and dynamic group, you will be at the forefront of innovation, tackling complex technical challenges and playing a key role in shaping the future of video experiences across Apple products. We are seeking a highly motivated and enthusiastic individual with a deep passion for video coding and processing technologies, coupled with strong analytical and creative problem-solving skills.Spearhead R&D in emerging media compression technologies and standards. Design and implement innovative video compression/processing algorithms optimized for existing and future hardware platforms. Collaborate with hardware and software architects to define and integrate media features and algorithms for upcoming products.BS and a minimum of 3 years relevant industry experience. Expertise in video and image coding principles, algorithms, and techniques. In-depth knowledge of video compression standards such as H.264, HEVC. Strong programming skills in C/C++. Excellent software design, problem-solving, and debugging abilities.Experience with both objective and subjective visual quality assessment methods. Understanding of hardware-based techniques with the ability to develop ideas that are hardware-friendly. Familiarity with video processing algorithms (e.g., scaling, noise reduction, tone mapping) is a plus. Proficiency in digital signal processing and information theory is a plus. Knowledge of the latest computer vision and deep learning technologies, and their application to video processing, is a significant advantage. Excellent collaboration skills. Strong written and verbal communication skills.