Apple is a place where individual imaginations come together, committed to values that lead to great work. The team consists of engineers and researchers building multimodal foundation models, with a focus on image understanding and generation. The group develops infrastructure, datasets, and models with fundamental general capabilities, collaborating with cross-functional partners to apply these models and deliver features to millions of users. The team seeks researchers passionate about developing algorithms, techniques, and systems that advance deep learning and enhance Apple products powered by foundation models.
Tasks
- Work with a close-knit and fast-growing team of world-class engineers and scientists to address challenging problems in foundation models and deep learning, including natural language processing, multi-modal understanding, and integrating learning with knowledge.
- Identify and develop novel applications of deep learning in Apple products.
- Contribute ideas that may be published in papers and improve the experience of millions of users.
Requirements
- Demonstrated expertise in deep learning with a publication record in relevant conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, KDD, ACL).
- Deep understanding of multi-task, multi-modal machine learning domain.
- Proficient programming skills in Python and one of the deep learning toolkits such as JAX, PyTorch, or Tensorflow.
- PhD, or equivalent practical experience, in Computer Science or a related technical field.
- A track record in applying deep learning techniques to shipping products.
- Experience with multi-modal perception for existing products and future hardware platforms.
- Knowledge of on-device intelligence and learning with strong privacy protections.
- Ability to quickly prototype ideas and solutions, perform critical analysis, and use creative approaches for solving complex problems.
- Ability to collaborate closely with globally distributed teams.
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Über uns
Das Team
The team is composed of engineers and researchers focused on multimodal foundation models, working closely together in a collaborative environment in Zürich.