About Us

Radical Numerics is an AI research lab building general biological intelligence. Our mission is to master the code of life, and our purpose is to reduce human suffering.

Our team created Evo, and started the field of generative genomics. Our work was featured on the cover of Science, and presented by our CEO on the main stage of TED2025. Evo was used to create the first AI gene therapy tool CRISPR-Cas9, and the first AI whole genome from scratch. Evo 2, featured in Nature, is the largest fully open source AI project across any domain.

Radical Numerics is bringing the rigor of distributed systems, model architecture, and numerics research to the challenges of biology. We’ve redesigned the foundation model training stack to turn the world’s raw scientific data (e.g. biological sequences, experiments, and physical processes), into intelligible, generative models that can expand and accelerate what humanity can understand, design, and cure.

The same generative breakthroughs that enable life-saving cures also lowers the barrier to creating engineered threats and AI-generated bioweapons. We believe these forces are inseparable. Radical Numerics was founded to develop both the power to design and the responsibility to defend.

About the Role

You build what our partners use. Our models produce variant scores, and you build everything between those scores and a scientist who can act on them.

Our science team owns the model itself. You own the pipelines that run it on partner data, the interfaces people use to work with the results, and the evaluations that show the scores hold up. You are not responsible for our inference infrastructure or core API.

You are paired with a product lead who owns a customer lane. You go into partner meetings and demo your own work, which means you take the technical objections yourself.

Expect to ship weekly.

What You'll Do

• Build the application surface for your lane. Interactive workbenches, variant scoring and ranking pipelines, and whatever else makes model output usable by a scientist who has never seen our API.

• Run our models on partner data and make the output interpretable enough that a computational biologist either trusts it or tells you why they don't.

• Build the evaluations that make our claims checkable. Held out benchmarks, blind retrospectives on solved cases, and comparisons against the tools a partner uses today.

• Go to partner meetings and present your own work. Take the technical objection yourself and come back with the fix.

• Ship weekly. Most of what you build starts as a prototype in a partner conversation.
  
  

What We're Looking For

• You build across the stack. Python for data and model work, TypeScript and React for the interfaces with equal facility in either depending on what the week demands.

• You have worked with real genomic data. VCFs, reference builds, variant annotation, and the specific ways this data is messy in practice.

• Comfortable engaging a partner's computational biology team as a technical peer, including in skeptical or challenging technical discussions.

• Comfortable operating without a finished spec — able to take a rough direction and a partner conversation and turn them into a working system within a week.
  
  

Nice to Have

• Experience designing model evaluations, and an opinion about what makes a benchmark honest.

• You've handled sensitive human data under strict access controls and understand the limits that comes with.

• A forward deployed engineering, solutions engineering, or founding engineer background at an AI or infrastructure company.

Radical Numerics is committed to equal employment opportunity and does not discriminate in any employment opportunities or practices based on an individual's race, color, creed, gender (including gender identity and gender expression), religion (all aspects of religious beliefs, observance or practice, including religious dress or grooming practices), marital status, registered domestic partner status, age, national origin or ancestry (including language use restrictions and possession of a driver’s license issued under California Vehicle Code section 12801.9), natural hair, physical or mental disability, political affiliation, medical condition (including cancer or a record or history of cancer, and genetic characteristics), sex (including pregnancy, childbirth, breastfeeding or related medical condition), genetic information, sexual orientation, military and veteran status or any other consideration made unlawful by federal, state, or local laws. It also prohibits unlawful discrimination based on the perception that anyone has any of those characteristics, or is associated with a person who has or is perceived as having any of those characteristics.

Radical Numerics participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S.