Software Engineer, Scientific Models

Responsibilities

• - Define standards and tooling for model developers, creating frameworks that make it easy to integrate, test, and ship third-party open-source and proprietary models into Benchling.

Requirements

• We are rebuilding biotech for the AI era.
• AI has the potential to change this, compressing decades of R&D work into years.
• But that only happens when clean, structured scientific data and AI are built into how science gets done.
• Benchling is the AI platform for biotech R&D.
• Scientists use Benchling to design experiments, capture structured data, and run AI agents and models directly in their workflows.
• ROLE OVERVIEW We’re a team that’s embedding cutting-edge scientific AI models into Benchling to help scientists design better molecules.
• It’s early days for scientific AI models, both at Benchling and in the industry at large.
• - Shape how we build AI at Benchling, driving experimentation, contributing to technical direction, and helping evolve our engineering and product development practices as the field matures.
• experience with backend systems and infrastructure for supporting scientific model training or inference. - Strong technical and analytical skills for optimizing compute-intensive systems. - Collaborative mindset, able to work closely with engineers, product managers, and scientists to bring new ideas to life. - Desire to work in a fast-paced environment, where priorities can shift and rapid experimentation is encouraged.

Experience

• QUALIFICATIONS - 3+ years of software engineering or equivalent research experience, developing or deploying scientific models in an industry or academic setting. - Strong

Benefits

• We are an equal opportunity employer.

Additional details