View on Hacker News
Roles
Compensation
equity, $5k annual professional growth budget, paid medical/dental/vision, parental leave, flexible PTO
Tech stack
Work setup
- Employment
- Full-time Employee
- Level
- Mid-level
Description
We bring machine learning solutions to global materials science challenges. From green plastics to lighter more efficient cars, to better batteries, to less toxic dyes for clothing – the future of our planet hinges on how we create the next generation of materials and chemicals. We work directly with innovative companies in the $80Tn materials market, making the development tradeoffs that will impact our planet for generations to come. We’re looking for talented software engineers interested in data and empirical science to build the ML platform the world uses to develop materials sustainably.
Similar jobs
-
Loading similar jobs...