Applied Machine Learning Researcher - Multimodal Foundation Models
Applied Machine Learning Researcher - Multimodal Foundation Models
Posted on :
31-08-2025
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1 Vacancy
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Job Description
This position requires a highly motivated person who wants to help us bridge the gap between research advances and practical applications in generative AI and multimodal foundation models. You will be responsible for evaluating and adapting emerging research conducting applied research experiments and working with engineering teams to transform promising approaches into robust solutions taking into account future hardware design and product addition you will have an opportunity to engage and collaborate with several teams across Apple to deliver the best products.
- 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
- Experience with rapid prototyping reproduction and validation of research ideas
- 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.
- Masters or PhD or equivalent practical experience in Computer Science Computer Vision Machine Learning or related technical field.
- Track record of translating research into practical applications either through published work or industry experience.
- Deep expertise in multimodal foundation models with a focus on practical applications.
- Strong applied 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.
- Experience bridging research ideas with production constraints.
Employment Type
Full Time
Key Skills
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