Staff AI Researcher

Ph.D. or Master's degree in a quantitative discipline (e.g., Computer Science[with AI/ML Major], Statistics, Operations Research, Economics, Mathematics, Physics) or equivalent practical experience.

Proficiency in communicating analysis and establishing confidence among audiences who do not share your disciplinary background or training.

Experience with security and systems that handle sensitive data.

Experience with Databricks/MLflow.

Experience with designing and implementing production-ready agentic systems.

Proficiency in at least one major deep learning framework (e.g. PyTorch, Tensorflow, Keras, etc), with the ability to design and implement deep learning architectures.

Demonstrated leadership and self-direction.

First-author publications at peer-reviewed conferences (e.g. NeurIPS, ICML, ACL, JSM, KDD, EMNLP).

Winners in ACM-ICPC, NOI/IOI, Kaggle.

Working knowledge of health-tech systems, like Electronic Health Records, Clinical data, etc.