Research Engineer, AI
Biohub· AI Research
Hybrid (New York, NY)$214k - $375kfull-timePosted 5mo ago
About the role
Biohub is building frontier AI for fundamental science at scale, combining frontier AI models, biological foundation models, and lab capabilities to accelerate scientific discovery and potentially cure disease. The team focuses on frontier molecular modeling, large-scale biological foundation models, imaging models, multi-agent systems, mechanistic interpretability, and large biological datasets.
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:deep learning systemsmodel architecture designreinforcement learning
Nice to have:multi-agent systems
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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