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Research Engineer, AI

Biohub· AI Research
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Hybrid (Redwood City, CA)$214k - $375kfull-timePosted 5mo ago

About the role

Biohub's research-focused role building frontier AI systems for biology, including foundation models, RL, multi-agent systems, and mechanistic interpretability to accelerate scientific discovery.

Responsibilities

  • Build on and advance the AI systems at the frontier of biology to accelerate science
  • Design novel model architectures and scale pre-training pipelines for our biology foundation models.
  • Build post-training systems that drive biological discovery: RL, reward modeling, reasoning, and multi-agent orchestration for long-horizon scientific tasks.
  • Design evaluation frameworks and AI systems with scientists across Biohub and beyond, grounded in real biological outcomes and real world impact.
  • Engage the wider scientific community through impactful publications, open-source releases, and collaborations worldwide.

Qualifications

  • Significant experience building and scaling deep learning systems, ideally in research-driven environments
  • Strong engineering and scientific fundamentals
  • Comfort with ambiguity, rapid iteration, and loosely-defined research problems
  • Strong communication skills across technical and scientific audiences

Skills

Required:Experience building and scaling deep learning systemsEngineering fundamentalsAbility to handle ambiguity and rapid iterationCommunication across technical and scientific audiences

Benefits

  • Provides a generous employer match on employee 401(k) contributions to support planning for the future.
  • Paid time off to volunteer at an organization of your choice.
  • Funding for select family-forming benefits.
  • Relocation support for employees who need assistance moving
Last updated Jul 9, 2026. Interested? Apply on the company site.

About Biohub

Leading the new era of AI-powered biology

Biohub is a research organization building technology to enable AI-powered biology for studying cells, disease mechanisms, and frontier biology.

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