Benchling

Benchling

Research Engineer, Model Evaluation and Improvement

San Francisco, CA · Mid

Sponsorship not specifiedDetected 58 days ago
LLMsAgentic AIA/B TestingDesign SystemsExcelResearch

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odds of building a lasting career here

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Cap-exempt (no lottery)0
Sponsors this role80
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70

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Files H-1B transfers

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About the role

  • We're a team focused on making frontier AI models better at science.
  • LLMs know an extraordinary amount of biology, but there's still a large gap in reasoning for the real-world problems scientists face every day.
  • We recently published some of our work here https://www.benchling.com/blog/can-llms-work-in-the-wet-lab.

Responsibilities

  • Build datasets for evaluating and improving frontier models, turning complex scientific data into high-quality tasks and environments for LLMs.
  • Build scalable data infrastructure, creating pipelines that curate, transform, and validate large volumes of scientific data into tasks for model evaluation and improvement.
  • Collaborate with frontier AI labs, helping develop and evaluate new approaches for improving models on challenging scientific tasks.
  • You'll build the datasets, evaluations, and systems that help close that gap.
  • You'll partner with leading AI labs to understand where models fail and how to improve them.

Requirements

  • 2+ years at the intersection of biology and AI, with experience evaluating and improving scientific models or LLMs for biological applications.
  • Comfort working on ambiguous problems, where the playing field is rapidly shifting and the right technical approaches are still being discovered.
  • Experience building with LLMs, with an intuition for where current models excel, where they struggle, and how to design systems around their capabilities.
  • Curiosity and excitement about frontier AI, with a desire to understand and push the capabilities of rapidly improving models.
  • Collaborative mindset, able to work closely with engineers, scientists, and external research partners.
  • Desire to work in a fast-paced environment, where priorities can shift and rapid experimentation is encouraged.
  • This is an in-person team in San Francisco built around collaborating in the office in a fast-paced environment. We're in the office Monday through Friday.
  • Benchling welcomes everyone.
  • We believe diversity enriches our team so we hire people with a wide range of identities, backgrounds, and experiences.
  • We are an equal opportunity employer. That means we don't discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We also consider for employment qualified applicants with arrest and conviction records, consistent with applicable federal, state and local law, including but not limited to the San Francisco Fair Chance Ordinance.

Skills

  • When a breakthrough is delayed, the world waits.
  • Getting a molecule from discovery to patients, or a crop from lab to field, involves thousands of slow, manual, disconnected steps.
  • 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.

Company info

  • We are rebuilding biotech for the AI era.
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