* Develop and maintain NLU.
* Develop sentence classification models using transfer learning solutions.
* Work with a multi-disciplinary team of data scientists, backend engineers, and clinicians to deliver and maintain ML-based products in production.
* Continuously improve and broaden the system's ability to understand patients and respond correctly.
* Ensure the entire stack is designed and built for speed and scalability in the cloud.
* Ensure the quality of the product and prevent regression by implementing unit and integration tests.
* M.S. Computer Science with NLP specialization.
* 3+ years working as a machine learning engineer developing NLP systems.
* Experience building NLP pipelines for text classification.
* Experience building and optimizing NLU systems.
Small (0 - 50)