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Description
In this role, you will use your skills and experience in ML and deep learning to design, implement and evaluate new machine learning models and algorithms to solve ambitious problems involving unique data and objectives. You will have the opportunity to explore and develop generative AI technologies. The successful candidate should possess excellent interpersonal skills and ability to work multi-functionally to transform novel research at the intersection of Health and ML into customer features.
Minimum Qualifications
5+ years experience in hands-on experience in state-of-the-art machine learning and deep learning as applied to large-scale datasets Strong background in generative models, natural language processing, and large language models Proficiency developing large scale models using modern machine learning packages (e.g. TensorFlow, PyTorch, Jax) Passionate about applying machine learning methods to deliver end-user experiences in health space Experience in leading a team and track record of multi-functional collaboration to deliver customer-facing features in production Ph.D. in Computer Science, Machine Learning, or related fields or equivalent qualification
Preferred Qualifications
Ability to thrive in fast-paced environment, deal with uncertainty, and adapt to new and changing requirements Proven track record of contributing to diverse teams in a collaborative environment A passion for building outstanding and innovative products. This position involves a wide variety of interdisciplinary skills
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