Video Codec Machine Learning Engineer, Audio & Media Technologies

Imagine the possibilities that await you here! At Apple bold ideas rapidly transformninto groundbreaking products services and customer experiences that shape thenworld. Are you someone who brings passion dedication and a drive to push bound-naries If so we want to hear from you. We are seeking exceptional talent to join us inndefining the future of video. Our team is at the forefront of crafting the next genera-ntion video codec that will redefine the industry landscape and set new standards fornhow the world experiences video. This is your opportunity to make a lasting impactnon both Apples ecosystem and the broader industry as a whole. Driven by this mis-nsion our team develops cutting-edge video coding processing machine learningnand systems engineering technologies that power intelligent and immersive videonexperiences across Apples iconic products and platforms including Photos Cam-nera Spotlight FaceTime AirPlay Sidecar and Apple TV. You will collaborate with anteam of highly driven and talented specialists working together to turn visionaryncodec innovations into transformative technologies that reach and inspire millions ofnpeople 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.

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 Apples unique and innovative use 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 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 Apples iconic products and 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.

A Ph.D degree in Electrical Engineering or Computer Science is 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 in Video Coding Standards: In-depth hands-on experience with industry-leading video coding standards including H.264/AVC H.265/HEVCnAV1 H.266/VVC and the emerging AV2 with a keen interest in how machine learning is revolutionizing these Software Engineering Skills: Excellent software design developmentnand debugging skills with proficiency in C/C complemented by experience innML 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 valuednVisionary 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 impactnLeadership 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.