Senior Software Engineer, Machine Learning

Fathom is on a mission to use AI to understand and organize the world’s medical data, initially focusing on interpreting the terabytes of clinician notes present in the electronic health records of the most extensive global health systems. Our profound learning engine streamlines the conversion of patient records into the billing codes utilized for healthcare provider repayment, a procedure currently costing US hospitals more than $15B annually and several more billion in errors and rejected claims. In late 2022, we accomplished a Series B financing round amassing $46M. Are you passionate about machine learning and enthusiastic for a chance to make a difference in healthcare? We're seeking an exceptional Senior Software Engineer, Machine Learning, remote-based in North America. He/she is not just adept at designing machine-based systems, but can also creatively conceive the human interactions essential to enhance and train these systems. We're eager to collaborate with teammates who are excited to employ groundbreaking technologies and approaches toward one of the most vital yet outdated industries. This is an opportunity to join our team and mission to understand and organize the world’s medical data, starting by interpreting the terabytes of clinician notes contained within the health systems' electronic health records. Your role and responsibilities will include: - Developing NLP systems that assist us in structuring and understanding biomedical information and patient records - Using a variety of structured and unstructured data sources - Innovating and implementing creative data-acquisition and labeling systems, using methods such as crowdsourcing and novel active learning approaches - Working with the latest NLP approaches (BERT, Transformer) - Training your models at scale (Horovod, Nvidia v100s) - Employing and adapting scalable and novel machine learning pipelines (Airflow on Kubernetes) - Reading and incorporating state of the art techniques into Fathom’s ML infrastructure such as Mixed Precision on Transformer networks We are looking for a teammate with: - 5+ years of development experience in a company/production setting - Experience with deep learning frameworks like TensorFlow or PyTorch - Industry or academic experience working on a range of ML problems, particularly NLP - Strong software development skills focused on building robust and scalable ML - A genuine passion for finding, analyzing and incorporating the latest research, technologies, and techniques directly into a production environment - Good intuition for understanding what good research looks like, and where we should focus effort for maximum outcomes Bonus points if you have: - Developed and improved core NLP components and not just 'grabbed things off the shelf' - Led large-scale crowd-sourcing data labeling and acquisition (Amazon Turk, Crowdflower, etc.) Salary range: - $160,000 - $220,000 USD