Reverie Labs

At Reverie Labs, we’re rethinking drug discovery by building a biotech company that looks and feels like a tech company. We are actively working on several cancer therapeutics programs and building an internal platform to accelerate discovery. We’re looking for front-end engineers, DevOps engineers, and full stack developers to expand the computational systems that generate the next era of life-saving treatments for millions of patients. If you enjoy any of these types of projects, we’d love to hear from you! Designing and developing internal tools using the latest web technologies to enable computational chemists to explore molecular properties. Working with Javascript-based data visualization and exploration libraries. Designing cloud infrastructure to serve billions of predictions for machine learning models via Kubernetes on Google Cloud Platform and Amazon Web Services. Building scalable machine learning infrastructure so that ML engineers can train thousands of models at scale, visualize performance, and analyze results. Connecting Docker-based microservices and serverless scripts to enable automated dataset ingestion pipelines that speed up the pace of model development and serving. Writing continuous integration and delivery tools to build new Docker containers, deploy updated models, and distribute code in response to Git hooks or other web events. Owning the full development cycle of a product from ideation to implementation to deployment (of course in collaboration with a team!).