AWS, Design, Docker, Infrastructure-as-code-IaC, Kubernetes-K8s, Machine learning techniques, Python Programming, Terraform, TypeScript
This role is ideally suited to an experienced software engineer, who loves building scalable cloud infrastructure , and applies software engineering principles to infrastructure code. As a member of our engineering team, you will play a key role in designing, creating and maintaining infrastructure that allows our ML research scientists to run training and inference on a massive scale, and help deliver model results to molecular scientists.
If you’re a software engineer who is interested in science and ML, you’ll be at home here. No machine learning experience is required for this role, although experience with production ML model deployment would be beneficial. Using your talent for writing and maintaining reliable systems, you will play a key role in revolutionising the creation of cutting-edge therapeutics.
Who are you
Useful skills
CHARM Therapeutics pioneers the exploration and creation of small molecule medications targeting challenging-to-treat objectives, utilizing our exclusive 3D deep learning platform, DragonFold. Fueled by cutting-edge protein-ligand co-folding algorithms and a stellar team of experts, CHARM is dedicated to introducing groundbreaking methods to develop transformative treatments for patients.