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BenchlingBenchlingSan Francisco, CA

Software Engineer, Scientific Models

Build scalable infrastructure for scientific AI models like AlphaFold to enable fast, reliable inference in biotech workflows. Requires 3+ years experience with backend systems and scientific model deployment, strong optimization skills.

173k – 234k/yr
Hybrid3+ YOEBackend Engineering

About the role

Responsibilities

  • Build and scale our scientific model platform by designing and implementing infrastructure for model inference that is fast, reliable, and cost-effective across a diverse set of scientific models.
  • 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.
  • Work directly with customers to ideate use cases, gather feedback, and onboard scientific teams.
  • 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.

Qualifications

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

Skills

PythonBackend SystemsModel InferenceAI InfrastructureScientific ComputingAlphafoldMachine Learning ModelsKubernetesDistributed SystemsOptimization Techniques

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