About this role
About the Role
Build the intelligence layer for an AI-powered recruiting marketplace, including the systems that match candidates with relevant roles. You will own recommendation, ranking, and retrieval capabilities from early design through production.
What You'll Do
- Design and build recommendation, ranking, and retrieval systems for candidate-role matching.
- Develop LLM-powered features and improve matching quality using measurable outcomes.
- Take product features from problem definition to production, shipping at a rapid cadence.
- Build and maintain the data pipelines and backend services that support production models.
- Work with company leadership to translate product goals into working systems.
What We're Looking For
- Two to five years of experience building and shipping end-to-end software features in production.
- Production experience with recommendation systems, ranking algorithms, or ML-powered matching.
- Experience shipping ML models or ML-powered products to users, with hands-on work in PyTorch, TensorFlow, or equivalent frameworks.
- Proficiency in TypeScript or Python and experience building production features with LLM APIs.
- Experience maintaining production data pipelines and services, ideally in a fast-moving startup environment.
- Strong computer science fundamentals; React, embeddings, vector search, Supabase, Prisma, Typesense, or workflow automation tools are helpful.
Compensation & Benefits
Salary is $130,000 to $170,000 annually, plus competitive founding-hire equity. Visa sponsorship is available for eligible candidates.
Location
On-site in San Francisco, California. The role works in person six days per week.