Imagine what you could do here. At Apple, new ideas quickly become extraordinary products, services, and customer experiences. Join us in this exciting era of Artificial Intelligence to help deliver the next groundbreaking Apple products and experiences. We are continuously advancing the state of the art in Computer Vision and Machine Learning, focusing on language and multimodal foundation models, from data collection and curation to modeling, evaluation, and deployment. As a member of our dynamic group, you will have the unique opportunity to shape upcoming research directions in multimodal foundation models that will inspire future Apple products.
Tasks
- Advance the capabilities of foundation models and guide them toward real-world applications in Apple products.
- Research and develop methods to improve alignment, reasoning, and adaptation of large models to practical use cases, ensuring efficiency, scalability, and privacy.
- Create customized foundation models with targeted capabilities that operate efficiently in constrained environments, supporting next-generation intelligence across Apple’s ecosystem.
- Stay ahead of emerging research and identify techniques suitable for real-world deployment, translating scientific advancements into production-quality solutions.
- Design and optimize large-scale data pipelines to support robust training and detailed evaluation of foundation models, working with massive multimodal datasets.
- Explore new techniques to strengthen focused reasoning, multimodal understanding, and adaptive behavior, enabling models tailored for specific Apple experiences.
- Collaborate with multi-functional teams of engineers and researchers to bring customized and efficient models into Apple products, ensuring smooth integration and intelligent user experiences.
Requirements
- Proficient programming skills in Python and experience with at least one modern deep learning framework (PyTorch, JAX, or TensorFlow).
- Experience working with large-scale training pipelines and distributed systems.
- MS in Computer Science, Computer Vision, Machine Learning, or related technical field, and a minimum of 6 years relevant experience.
- PhD, or equivalent practical experience, in Computer Science, Machine Learning, or a related technical field (preferred).
- Demonstrated expertise in related field with publication record in relevant conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, COLM, etc).
- Experience with full stack of foundation model training (vision-language).
- Familiarity with large-scale data pipelines, including data curation, preprocessing, and efficient storage.
- Ability to work effectively in a multi-functional, collaborative environment.
- Experience with advanced reasoning or reinforcement learning methods.
- Experience with model distillation using on-policy or off-policy techniques.
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Über uns
Das Team
The Multimodal Intelligence Team has a track record of shipping features that leverage multiple sensors, such as FaceID, RoomPlan, and hand tracking in VisionPro, and maintains a strong research presence in the multimodal AI community. The team focuses on building experiences that demonstrate the power of sensing hardware and large foundation models.