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AIML - Machine Learning Researcher, Multimodal Foundation Models

Apple· Machine Learning and AI
Apply on company site
ZurichFull-timePosted 1mo ago

About the role

Researchers focused on developing multimodal foundation models with emphasis on image understanding and generation. Work on algorithms, techniques, and systems for deep learning, with opportunities to ship features to millions of users and apply learning to real-world use cases.

Responsibilities

  • Develop algorithms, techniques, and systems that push the frontier of deep learning and foundation models.
  • Research multimodal understanding, natural language processing, and combining learning with knowledge.
  • Identify and develop novel applications of deep learning in Apple products.
  • Ship features and publish ideas in papers and improve user experiences at scale.
  • Prototype ideas quickly, perform critical analysis, and explore creative solutions.
  • Collaborate closely with globally distributed teams.

Qualifications

  • PhD, or equivalent practical experience, in Computer Science or related technical field
  • Demonstrated expertise in deep learning with a publication record (e.g., NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, KDD, ACL)
  • Deep understanding of multi-task, multi-modal machine learning
  • Proficient in Python and one of JAX, PyTorch, or TensorFlow
  • Track record in applying deep learning techniques to shipping products
  • Experience with multi-modal perception for existing products and future hardware platforms
  • On-device intelligence and learning with strong privacy protections
  • Ability to prototype ideas quickly, perform critical analysis, and use creative problem-solving
  • Ability to collaborate with globally distributed teams

Skills

Required:Deep learningPythonJAX/PyTorch/TensorFlowMultimodal learning
Nice to have:On-device intelligence

Benefits

  • Note: Benefits are not explicitly listed in the provided description. Apple typically offers comprehensive benefits, but no specific items are provided here.
Last updated Sep 18, 2026. Interested? Apply on the company site.

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