About the role
AI summarisedJoin the codec deep video processing team to develop machine learning algorithms that power Apple technologies, ensuring the best visual user experience. You will work across multiple projects, from pre-training data curation to post-training data preparation at a large scale, playing a key role in building and productizing next-generation video processing features.
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Key Responsibilities
- Identify and develop machine learning solutions for video processing features.
- Work closely with multiple cross-functional teams to optimize and productize ML features.
- Contribute to the entire lifecycle, from data curation to model training and evaluation.
- Drive feature development that brings high impact to millions of users.
Requirements
- Master’s degree in Machine Learning, Computer Science, Electrical/Computer Engineering, or related fields.
- Strong knowledge of ML and video processing principles, algorithms, and techniques with hands-on experience.
- Proven experience evaluating supervised, unsupervised, and deep learning models.
- Proficiency in Python and libraries such as NumPy, pandas, scikit-learn, PyTorch, or TensorFlow.
- Familiarity with multimodal models (e.g., image + text, video + audio) and their evaluation challenges.
- Strong communication and technical documentation skills.