Video Codec Machine Learning Engineer, Audio & Media Technologies

This position is ideal for a highly self-motivated and visionary individual with a deep passion for pushing the boundaries of video coding, machine learning, and AI-driven video technologies. Shaping the Future of Industry Standards: Spearheading efforts to contribute groundbreaking algorithms and ML-driven innovations to the next generation of video coding standards, positioning Apple at the forefront of the industry. Driving Cross-functional Collaboration: Partnering closely with software and hardware teams to define, architect, and implement cutting-edge video coding and machine learning algorithms, bringing them to life across Apple's iconic products and platforms. Advancing ML and Generative Video Technologies: Exploring and applying the latest advancements in deep learning, neural video compression, generative AI, and computer vision to unlock new possibilities in video coding and processing. Leading and Inspiring a Technical Team: Guiding a team of talented specialists in researching and developing novel video codecs, with a strong emphasis on machine learning and AI-powered approaches, tailored to Apple's unique and innovative use cases. Deep Expertise in Video and Image Coding: Comprehensive mastery of video and image coding principles, algorithms, and techniques, with a strong foundation in both classical and ML-driven approaches. Proficiency in Video Coding Standards: In-depth hands-on experience with industry-leading video coding standards, including H.264/AVC, H.265/HEVC, AV1, H.266/VVC, and the emerging AV2, with a keen interest in how machine learning is revolutionizing these standards. Strong Software Engineering Skills: Excellent software design, development, and debugging skills with proficiency in C/C++, complemented by experience in ML frameworks such as PyTorch or TensorFlow. Machine Learning and AI Fluency: Strong understanding and practical experience in applying machine learning, deep learning, and generative AI techniques to video and image processing, coding, and computer vision challenges. Experience with ML-based codec design, neural video compression, or AI-powered video enhancement is highly valued. Visionary and Innovative Mindset: Passion for staying at the cutting edge of machine learning, generative video technologies, and computer vision, with the ability to translate emerging research into real-world product impact. Leadership and Collaboration: Proven experience in leading teams and driving complex projects from concept to completion, with strong written and verbal communication skills to effectively influence and inspire across cross-functional teams.

For more details click Job Post.