Research Engineer, AI

Biohub

Redwood City (CA)

On-site

USD 214,000 - 375,000

Full time

14 days+

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Benefits offered by this job

401(k) employer match
Paid volunteer time
Relocation support

Job summary

Biohub is seeking a Research Engineer to build AI models that revolutionize biological research. You will design novel systems and collaborate with scientists while engaging with the broader scientific community.

This role requires significant experience in deep learning and strong communication skills. The anticipated salary range for this position is $214,000 to $375,000 annually, dependent on experience.

Qualifications

  • Significant experience building and scaling deep learning systems in research-driven environments.
  • Strong knowledge of engineering and scientific fundamentals.
  • Ability to communicate effectively across technical and scientific fields.

Responsibilities

  • Build and advance AI systems to accelerate scientific discovery.
  • Design novel model architectures for biology.
  • Create evaluation frameworks grounded in real biological impacts.

Skills

Deep learning systems
Strong communication skills
Engineering fundamentals
Adaptability to ambiguity

Job description

Biohub is the first large-scale initiative bringing frontier AI models, massive compute, and frontier experimental capabilities under one roof. We're building a general-purpose system to accelerate scientific discovery, integrating frontier AI models, biological foundation models, and lab capabilities, with the ultimate goal of curing disease. Our technology powers scientists around the world, translating AI capabilities into tools that accelerate research everywhere.

Biohub operates one of the largest AI compute clusters dedicated to biology, spanning three frontier research institutes with some of the world's leading biologists. We're not a startup trying to find product-market fit, and we're not a pharma company optimizing a pipeline. We're building frontier AI for fundamental science, as open science, at a scale no one else is doing. This is a unique moment for scientific acceleration. The problems are among the hardest and most impactful problems you can choose to work on, and we move at a pace that meets this moment.

  • Frontier molecular modeling, from protein language models (e.g., ESM) to structure prediction (e.g., ESMFold) and beyond.
  • Scaled biological foundation models trained on some of the largest GPU clusters dedicated to science
  • Imaging foundation models trained across the world's largest microscopy datasets
  • Reasoning and agentic systems that connect frontier LLMs with biological foundation models
  • Mechanistic interpretability of biological foundation models: extracting new biological knowledge directly from model weights
  • Scientific data at unprecedented scale: AI systems to collect, curate, and learn from some of the richest biological datasets ever assembled
Join Our Team!

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 $214,000 to $375,000 annually. Final compensation is based on the level at which you are hired. 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.
  • Relocation support for employees who need assistance moving
Reasonable Accommodation Notice

The organization provides (and state and federal law requires) reasonable accommodations to be provided to qualified applicants with disabilities. Your recruiter will work with you during the interview process should you require any such accommodations. Examples of reasonable accommodation include making a change to the application process or work procedures, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.

Background Check Notice

As part of our hiring process, all offers of employment are contingent upon the successful completion of a background check. By submitting your application, you acknowledge that you will be required to undergo a background check prior to employment.

Artificial Intelligence Usage Notice

We use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications and analyzing resumes. These tools assist our recruitment team but do not replace human judgment. Hiring decisions are ultimately made by humans. If you have questions about this once your are in our hiring process, please contact your Recruiter.

Voluntary Self Identification

For reporting purposes, we ask candidates to respond to the below self-identification survey. Completion of the form is entirely voluntary. Whatever your decision, it will not be considered in the hiring process or thereafter. Any information that you do provide will be recorded and maintained in a confidential file.

As set forth in the organization’s Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law.

If you believe you belong to any of the categories of protected veterans listed below, please indicate by making the appropriate selection. Classification of protected categories is as follows:

A "disabled veteran" is one of the following: a veteran of the U.S. military, ground, naval or air service who is entitled to compensation (or who but for the receipt of military retired pay would be entitled to compensation) under laws administered by the Secretary of Veterans Affairs; or a person who was discharged or released from active duty because of a service-connected disability.

A "recently separated veteran" means any veteran during the three-year period beginning on the date of such veteran's discharge or release from active duty in the U.S. military, ground, naval, or air service.

An "active duty wartime or campaign badge veteran" means a veteran who served on active duty in the U.S. military, ground, naval or air service during a war, or in a campaign or expedition for which a campaign badge has been authorized under the laws administered by the Department of Defense.

An "Armed forces service medal veteran" means a veteran who, while serving on active duty in the U.S. military, ground, naval or air service, participated in a United States military operation for which an Armed Forces service medal was awarded pursuant to Executive Order 12985.

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