Senior Software Engineer, Machine Learning

October 2, 2023

Airflow

Deep Learning

Kubernetes

Machine Learning

PyTorch

Tensorflow

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fathom

a digital creative studio

11 - 50

Description

• 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

Requirements

• 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, with a focus on building sound and scalable ML • A real 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 to maximize outcomes 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.)

Benefits

• Venture-backed company • Series B round of financing for $46M in late 2022 • Opportunity to make an impact in healthcare • Remote work option

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