As a Video Machine Learning Algorithm Engineer on our team, you will be at the forefront of designing, developing, and deploying machine learning solutions that redefine how video is experienced across Apple's ecosystem. You will collaborate with a world-class group of researchers and engineers to tackle challenging problems in video processing and understanding — from crafting novel neural network architectures to optimizing models for on-device performance. Your work will span the full lifecycle of innovation: researching state-of-the-art techniques, prototyping new ideas, training and evaluating models, and shipping production-quality solutions that delight users. If you thrive at the intersection of deep learning research and real-world product impact, this role will give you the platform to do the best work of your career.

Design and develop novel machine learning algorithms and neural network architectures for video processing, compression, understanding, and enhancement.

Train, evaluate, and iterate on deep learning models using large-scale datasets to achieve state-of-the-art performance.

Optimize machine learning models for efficient deployment on Apple hardware, balancing quality, latency, and resource constraints.

Implement and integrate end-to-end machine learning pipelines into Apple's products and frameworks.

Collaborate cross-functionally with product, software, and hardware teams to define requirements and deliver cohesive solutions.

Investigate and prototype emerging research techniques to solve complex video-related challenges.

Analyze and benchmark model performance using rigorous metrics, driving continuous improvement in quality and efficiency.

Document technical designs, experimental results, and best practices to support team knowledge sharing and reproducibility.