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Apple AI Research Scientist – Foundation Models & Multimodal Intelligence United States, California, Sunnyvale 776978938
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You will design and optimize large-scale data pipelines to enable robust training and fine-grained evaluation of foundation models, working with massive multimodal datasets to push the limits of performance. You will explore new ways to enhance reasoning and multimodal understanding, adapting models for Apple’s unique ecosystem, from cloud-scale infrastructure to on-device intelligence.
- BS and a minimum of 3 years relevant industry experience.
- 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.
- PhD, or equivalent practical experience, in Computer Science, Machine Learning, or a related technical field.
- Demonstrated expertise in deep learning, with either: A publication record in relevant conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV,COLM, etc), or a strong track record of applying deep learning techniques to real-world products.
- Experience with foundation models (language, vision-language, or multimodal).
- Familiarity with large-scale data pipelines, including data curation, preprocessing, and efficient storage.
- Experience fine-tuning or optimizing large models for production deployment.
- Knowledge of retrieval-augmented generation (RAG), personalization, or grounding techniques.
- Familiarity with privacy-preserving or on-device machine learning.
- Ability to work effectively in a cross-functional, collaborative environment.
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
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