We are seeking a Machine Learning Researcher with a record of excellence in empirical research in areas such as natural language processing, knowledge graph inference, and biochemical modeling to join our New York office. You will be responsible for developing and executing a research agenda around the core problems we work on at BenevolentAI - scientific discovery from structured and unstructured data sources.
Our goal is to bring together world-class researchers to advance the understanding of scientific discovery and to bring this understanding to the tools built at BenevolentAI. Our primary focus is to accelerate the discovery of therapeutic treatments (drugs) for human diseases.
The ideal candidate will have:
An advanced degree (a PhD) in computer science or a related field with a clear focus on empirical research.
Experience with relevant research associated with natural language processing, adversarial learning, reinforcement learning, active learning, probabilistic bayesian learning, and/or semi-supervised/multitask learning.
Knowledge of modern tools for ML such as Tensorflow, Theano, etc.
Experience building research prototypes and developing product-worthy tools from them.
If you would like to join our growing group of researchers to have direct impact in the goals of our company by advancing drug discovery, we would love to hear from you.
We offer a great opportunity to do what you like, while doing something that will improve and save millions of people’s lives. Please email your CV and a cover letter to firstname.lastname@example.org
No recruitment agencies please.