Software Engineer, Machine Learning Platform

The Machine Learning team at Profluent has two core objectives: (1) to train increasingly capable models as quickly and reliably as possible, and (2) to build scalable, intuitive systems and software around these models to accelerate protein design.

As a Software Engineer on the ML Engineering team, you will contribute directly to both goals. On the research side, you’ll build systems and tools that enable scientists to rapidly prototype ideas, scale complex experiments, and evaluate new models — anything from a distributed job orchestration service to a model evaluation platform. On the design side, you’ll build the infrastructure and software that empower our design team to tackle an increasing number of protein design challenges with greater speed and less friction — the inference stack, model APIs, and design pipelines, for example.

Our ideal candidate will have a rigorous engineering background and a strong product mindset. You’ll be responsible for taking projects from user research through systems design through implementation and deployment. As an early member of a small team, you will have significant ownership and the opportunity to shape the technical foundation of our growing engineering organization.