Video Codec Machine Learning Engineer, Audio & Media Technologies

Job description

Imagine the possibilities that await you here! At Apple, bold ideas rapidly transform into groundbreaking products, services, and customer experiences that shape the world. Are you someone who brings passion, dedication, and a drive to push boundaries? If so, we want to hear from you. We are seeking exceptional talent to join us in defining the future of video. Our team is at the forefront of crafting the next generation video codec that will redefine the industry landscape and set new standards for how the world experiences video. This is your opportunity to make a lasting impact on both Apple's ecosystem and the broader industry as a whole. Driven by this mission, our team develops cutting-edge video coding, processing, machine learning, and systems engineering technologies that power intelligent and immersive video experiences across Apple's iconic products and platforms, including Photos, Camera, Spotlight, FaceTime, AirPlay, Sidecar, and Apple TV. You will collaborate with a team of highly driven and talented specialists, working together to turn visionary codec innovations into transformative technologies that reach and inspire millions of people every day.
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.
<h3>Minimum Qualifications</h3>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++ or Python, complemented by experience in ML frameworks such as PyTorch or TensorFlow.
<h3>Preferred Qualifications</h3>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.