Research Engineer, AI

Biohub

$150K — $350K *
Healthcare
Less than 5 years of experience
Job Overview by Ladders

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.

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.

Benefits

  • Generous employer match on employee 401(k) contributions.
  • 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.
Full Job Description
As a Research Engineer, you'll build the models and systems that define what AI can do in biology: foundation models, reasoning, reinforcement learning, and multi-agent systems at frontier scale.
What You'll Do
  • 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.
What You'll Bring
  • 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
Compensation

The future anticipated Redwood City, CA, and New York City, NY base pay range for a role in this field is $150,000 to $350,000+ annually. Compensation ranges will vary based on job-related skills, level of experience, and knowledge. Actual placement in range is based on job-related skills and experience, as evaluated throughout the interview process.
Benefits for the Whole You

We're thankful to have an incredible team behind our work. To honor their commitment, we offer a wide range of benefits to support the people who make all we do possible.
  • 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

Please note that applying to this opportunity does not guarantee that we will be in touch with you regarding our opportunities. Our recruiting team will contact you if your experience aligns with the skills we seek for future open positions. We will keep your interest on file, contact you as opportunities arise, and send you information about the exciting work we are doing at Biohub. You can opt out at any time!

#LI-Hybrid

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