Your role and responsibilities will include:

• Developing NLP systems that help us structure and understand biomedical information and patient records
• Using a variety of structured and unstructured data sources
• Imagining and implementing creative data-acquisition and labeling systems, using tools and techniques like crowdsourcing and novel active learning approaches
• Working with the latest NLP approaches (BERT, Transformer)
• Training your models at scale (Horovod, Nvidia v100s)
• Employing and iterating on scalable and novel machine learning pipelines (Airflow on Kubernetes)
• Reading and integrating state of the art techniques into Fathom’s ML infrastructure such as Mixed Precision on Transformer networks

Bonus points if you have:

• Developed and improved core NLP components and not by just 'grabbing things off the shelf'
• Led large-scale crowd-sourcing data labeling and acquisition (Amazon Turk, Crowdflower, etc.)

Salary range:

• $175 000 - $220 000 USD