The Health Technologies team of the Reality Labs is looking for a research intern to help us develop the next generation machine learning models that aim to improve the public health outcomes, at Meta scale. We are seeking candidates who have experience with the following domains: machine learning for biomedical engineering, natural language processing, computer vision, multimodal learning, self-supervised learning.Our teams at Meta AI offer twelve (12) to twenty-four (24) weeks long internships and we have various start dates throughout the year. Internships are available at our Menlo Park, Seattle, and New York City locations.Research Scientist Intern, Machine Learning, Health Tech (PhD) Responsibilities:Plan and execute cutting-edge research on developing novel machine learning models that can benefit public health.Conduct SOTA research while collaborating with other researchers, and engineers to develop, prototype, and test different AI/ML models at-scale for real-world health applications. Present and share results with key stakeholders.Troubleshoot, debug and upgrade existing models, contribute to code documentation and maintenance of the data pipeline.Minimum Qualifications:

The Health Technologies team of the Reality Labs is looking for a research intern to help us develop the next generation machine learning models that aim to improve the public health outcomes, at Meta scale. We are seeking candidates who have experience with the following domains: machine learning for biomedical engineering, natural language processing, computer vision, multimodal learning, self-supervised learning.Our teams at Meta AI offer twelve (12) to twenty-four (24) weeks long internships and we have various start dates throughout the year. Internships are available at our Menlo Park, Seattle, and New York City locations.Research Scientist Intern, Machine Learning, Health Tech (PhD) Responsibilities:

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