About the role

Software Data Engineer evolving data models and operationalizing data pipelines at BenchSci. Collaborating with a world-class team to shape the future of scientific discovery.

Responsibilities

Collaborate with Machine Learning, Full-stack engineers and Science to solve complex document mining challenges, helping us capture and model additional scientific experiments
Scale data pipelines to allow our data to go from research to platform quickly and reliably
Work with sources that contain both semi-structured and unstructured data
Use your experience to help define and apply best practices for a broad platform of technologies in a cloud-based environment
Architect and maintain robust data pipelines that ingest diverse sources and utilize LLMs for high-fidelity entity extraction into structured formats
Implement evaluation frameworks to monitor the accuracy, drift, and hallucination rates of extraction models within the production pipeline.
Lead or consult the authoring of engineering design proposals following the unified Platform Stream roadmap at BenchSci
Leverage a deep understanding of the business context and the team’s goals to unlock independent technical decisions in the face of open-ended requirements
Proactively identify new opportunities (from both internal and external sources) and advocate for and implement improvements to the current state of projects
Respond with urgency and drive urgency in own team to operational issues, owning resolution within one's sphere of responsibility
Challenge the status quo and propose newer technologies or ways of working