Das ist der Job
Develop processes to integrate diverse data sources including material
Darum lohnt es sich
Our founding team is the most cited in the world, comprised of world-class researchers in AI, chemistry and engineering. Your Impact
As a Data Engineer you will be part of the new team building the infrastructure that underpins and acts as the critical bridge between raw chemical data and our machine learning models.
Your main focus will be to build the pipeline infrastructure and tooling for data ingestion, moving towards self‑serve setup for the scientific team members.
You’ll also be responsible for securing, collecting, cleaning, standardising, and tagging diverse chemical datasets to create high‑quality training data for our ML researchers while working closely with our chemistry team to ensure scientific accuracy.
About CuspAI
CuspAI is the frontier AI company on a mission to solve the breakthrough materials needed to power human progress. While nature took billions of years to perfect molecules, we are harnessing AI to unlock trillion-dollar materials breakthroughs in months, not millennia.
The Role
As we grow, we are seeking a Data Engineer to play a crucial part in driving our research and development efforts forward. What You Will Do Data Pipeline Development Design and build robust data pipelines for materials science datasets, experimental results, and computational chemistry outputs.
