About the role:

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We are looking for a talented AI Science Intern to join us in our commitment to provide better accessibility to healthcare prevention. In this role, you will join our CTO Research group and work on mission-critical Health AI model development. In this role, you will be responsible for assisting with researching, training, and deploying AI solutions for computer vision, natural language understanding and multi-modal AI for facial, audio and other medical related texts. You will be involved in the full cycle of AI model development including research, training, performance analysis, and ready for market.
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Responsibilities:

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• Investigate novel techniques for machine learning-based analytics and automated question answering using natural language processing across a variety of large, diverse medical datasets.

• Collaborate closely with AI Scientists and AI Engineers to understand the needs of the project and contribute your engineering/science knowledge to its core design.

• Rigorously document experimental results, code, and resulting models.

• Help to shape YOUTH Health’s language understanding and broader data analytics strategy by identifying new research directions.
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Your profile:

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You are passionate about using your skills to help improve access to healthcare prevention. You strive to deliver high-quality work, and have great attention to detail. You are able to work well both independently and in a collaborative team environment. A great candidate should have the following:

• BS in computer science, statistics, applied mathematics, machine learning, natural language understanding, or related technical field

• Are working on a Master’s or PhD degree in computer science, statistics, applied mathematics, machine learning, natural language understanding, or related technical field

• Experience with Python

• Experience with a deep learning environment such as Tensorflow or Pytorch

• Experience developing, training, and testing deep learning models

• Experience in natural language processing

• Familiar or experience working with the latest multi-modal AI learning techniques

• Familiar or experienced working with multi-task learning or meta-learning

• Experience working with Transformers

• Experience with AWS and distributed computing