At Reverie Labs, we’re building a pharmaceutical company from the ground up using computation—we’re a drug company that looks and feels like a tech company. We’re a team of engineers and machine learning researchers using cutting-edge tools to design new medicines.

Here’s a small sample of some of the hard tasks we solve to accomplish our goal of developing life-saving treatments for patients:

• Developing new machine learning algorithms and architectures to model complex biological systems.
• Translating state-of-the-art machine learning techniques designed to work on images, text, or audio into the domain of molecules.
• Creating a large-scale distributed training and hyperparameter optimization system.
• Using data mining and processing techniques to uncover new sources of data and clean our existing datasets.
• Using predictive modeling to make critical decisions about which tests to run in the lab.

‍

Requirements:

• Deep Learning: Experience building CNNs, RNNs, etc. from scratch in a modern deep learning framework (Tensorflow, PyTorch, Caffe, etc.).
• Classical ML: Experience with non-neural network deep learning models (random forests, SVM, etc.) and basic statistics.
• Data Engineering: Experience building large-scale data processing pipelines feeding into and analyzing results from ML.
• Experience with software development in Python.
• BS/MS/PhD in Computer Science or a related field, or strong machine learning experience.

‍