Reverie Labs (YC W18) | Cambridge/Boston, MA | Cloud, Infra, Full-Stack and Front-End Software Roles | Onsite | https://www.reverielabs.com
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 (see reverielabs.com/pipeline) and building an internal platform to accelerate discovery. We’re looking for engineers across the tech stack from front-end to cloud infrastructure to expand the computational systems that generate the next era of life-saving treatments for millions of patients.
If you think you might enjoy any of these types of projects, we’d love to hear from you!
* 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
* Working with Javascript-based data visualization and exploration libraries
* Designing and developing internal tools using the latest web technologies to enable computational chemists to explore molecular properties.
* 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!)
We were in the W18 batch of YC and are now based in the biotech hub in Cambridge, MA. We offer competitive salary and above-market equity. Benefits include full medical, dental, and vision coverage, flexible vacation policy, and gym membership.
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 (see reverielabs.com/pipeline) and building an internal platform to accelerate discovery. We’re looking for engineers across the tech stack from front-end to cloud infrastructure to expand the computational systems that generate the next era of life-saving treatments for millions of patients.
If you think you might enjoy any of these types of projects, we’d love to hear from you!
* 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
* Working with Javascript-based data visualization and exploration libraries
* Designing and developing internal tools using the latest web technologies to enable computational chemists to explore molecular properties.
* 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!)
We were in the W18 batch of YC and are now based in the biotech hub in Cambridge, MA. We offer competitive salary and above-market equity. Benefits include full medical, dental, and vision coverage, flexible vacation policy, and gym membership.
If you have any questions or want to apply, please reach out to me at [email protected] (I’m one of the founders), or apply at our website here: https://reverielabs.com/careers.