With the current process of polymer development, development scientists draw on their material knowledge to formulate new compound recipes, mix small batches on trial and test and then repeat the loop until the desired material properties are achieved, resulting in countless development hours. Complex recipes can take more than a year to develop.

Polymerize enables R&D scientists to reduce the trial & error in formulation development with a complete product lifecycle management software that will allow companies to efficiently access/share data and maintain formulation workflow orders, applications recommendations, reporting and analytics.

The MLOps role is a challenging, steep, and hands-on role for individuals ready to take full responsibility for the AI/ML applications within the Polymerize platform. The goal is to ensure the platform runs seamlessly with maximum automation and minimum supervision. We plan to achieve this by building a highly scalable, consistent, and seamless workflow with strong technical expertise, the latest technologies and state-of-the-art algorithms for ML and AI. We work as a closely knit team with no hierarchy and a constant push for ownership and customer-centric delivery of responsibilities. 

This role is also about having a lot of fun brainstorming, sometimes profoundly enlightening discussions on common industry problems, technology limitations, domain-specific roadblocks, and applications of AI. We strongly vouch for flexibility, deep work, and a balance of learning something you don't know while teaching something you know for the team's collective growth.