Genesis Therapeutics

We’re a hybrid AI + biotech start-up, developing novel deep learning and molecular simulation techniques to predict molecular properties and using them to accelerate the development of new medicines. We raised $52M Series A from Andreessen Horowitz + well-respected biotech investors, and have deployed our technology on several internal drug programs as well as a multi-target collaboration with Genentech, driving discovery progress at a speed rarely seen in the industry. Now we are scaling the team and technology to support many more programs in parallel as well as increasingly difficult protein targets. We currently have a team of about 30 people, split 50/50 between our ML / software team and our biochem team of veteran drug hunters in our own wetlab space. Our ML + software engineers are top-notch -- many graduates from MIT, UC Berkeley, Stanford. Previously worked at OpenAI, Google, Facebook, MemSQL, Jane Street, etc. We're looking for pure software engineers (no bio or chem experience expected) to help scale our cloud infrastructure and build internal tools for our ML and chemistry teams. We have an autoscaling cluster of hundreds of GPUs and thousands of CPUs processing billions of molecules / day, with a spiky, heterogeneous workload of deep learning training + evaluation as well as molecular simulation.