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Apple Machine Learning Researcher Multimodal Foundation Models United States, California, Sunnyvale 509116248
07.04.2025
This position requires a highly motivated person who wants to help us advance the field of generative AI and multimodal foundation models. You will be responsible for designing, implementing, and evaluating foundation models based on the latest advancements in the fields, taking into account future hardware design and product needs. In addition, you will have an opportunity to engage and collaborate with several teams across Apple to deliver the best products.
- Strong experience in deep learning with demonstrated work in at least one area of multimodal systems (e.g. vision, language, video, etc.).
- Proficiency in Python and in a modern deep learning framework such as PyTorch or JAX.
- Ability to work in a collaborative environment.
- Ability to communicate the results of analyses in a clear and effective manner.
- BS and a minimum of 3 years relevant industry experience.
- PhD, or equivalent practical experience, in Computer Science, Computer Vision, Machine Learning, or related technical field.
- Track record of impactful research published at top ML conferences (CVPR, ICCV/ECCV, NeurIPS, ICML, ICLR, etc.).
- Deep expertise in multimodal foundation models.
- Strong research experience in at least one major area of model development (data curation, pre-training, fine-tuning, alignment, or evaluation), particularly as it applies to multimodal systems.
- Experience with large-scale training pipelines, including working with large datasets and scaling models across distributed systems.
- Ability to work independently and drive research projects from conception to completion.
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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