We're looking for an Infrastructure Engineer to lead the scaling of our machine learning inference system. You'll be responsible for architecting and maintaining infrastructure that serves 150+ biological ML models, scaling our platform several orders of magnitude to meet rapidly growing demand.
You’ll work closely with the founders to design to the constraints of customer needs, unpredictable workloads, and unique Bio-ML models. You'll work with Kubernetes and other tools to orchestrate containerized workloads, optimize resource allocation, and ensure high availability across our model serving infrastructure.
Most importantly, you should thrive in a fast-paced startup environment where you'll wear multiple hats, learn new technologies quickly, and help solve novel technical challenges. We value engineering judgment, problem-solving ability, and the capacity to build systems that can evolve with our growing needs.
Requirements
Preferred
At Tamarind(https://www.tamarind.bio), we provide web interfaces and APIs for the leading publicly available molecular design tools. Users can run models like AlphaFold/Chai-1, RFdiffusion, ProteinMPNN and 200+ others with up to hundreds of thousands of inputs running in parallel.
Customers, including many top 20 biopharma, use us to design de novo binders, stabilize/solubilize antigens, improve binding affinities of protein binders, and score Abs for developability.
