Applications Engineer

The role

You will build the application surface, pipelines, and interfaces that allow scientists to use model outputs. You will run models on partner data, build evaluation infrastructure, and present work in partner meetings.

What you will do

• Develop the application surface including interactive workbenches and variant scoring and ranking pipelines.
• Run models on partner data and present results with interpretability.
• Build evaluation infrastructure including held-out benchmarks and head-to-head comparisons.
• Present work directly in partner meetings and field technical objections.
• Ship on a weekly cadence.

Required qualifications

• Build across the stack using Python for data and model work, and TypeScript, React or similar for interfaces.
• Worked with real genomic data including VCFs, reference builds, and variant annotation.
• Comfortable engaging a partner's computational biology team as a technical peer.
• Comfortable operating without a finished spec and turning rough direction into a working system within a week.

Nice to have

• Experience designing model evaluations
• Handled sensitive human data under strict access controls
• Forward deployed engineering, solutions engineering, or founding engineer background at an AI or infrastructure company

About the company

Radical Numerics is an AI research lab building general biological intelligence. Their mission is to master the code of life to reduce human suffering.