About this role
Summary: Builds the recommendation, ranking, retrieval, and matching systems for an AI-powered recruiting marketplace, owning them end to end and shipping them to production.
### About the Role
Build the intelligence layer for an AI-powered recruiting marketplace, including the recommendation, ranking, retrieval, and matching systems at the core of the product. You will own these systems end to end and work closely with the founding team to turn product goals into production software.
### What You'll Do
- Develop and operate recommendation, ranking, and retrieval systems.
- Build LLM-powered matching features that improve candidate and role alignment.
- Take features from problem definition through production, shipping at a rapid cadence.
- Architect and maintain the data pipelines and services that support production models.
- Partner with the founding team to translate product goals into working systems.
### What We're Looking For
- Two to five years of professional software engineering experience building and shipping end-to-end product features.
- Production experience with recommendation systems, ranking algorithms, or ML-powered matching, plus evidence of personally shipping ML models or products to users.
- Strong production engineering skills in TypeScript or Python, with hands-on experience using PyTorch, TensorFlow, or an equivalent ML framework.
- Experience building LLM-powered features with production APIs, as well as maintaining production data pipelines and services.
- Strong computer science fundamentals and experience working in fast-paced environments with rapid iteration.
- React, Supabase, Prisma, Typesense or similar search infrastructure, embeddings, vector search, and workflow automation tools are useful additions.
- Demonstrated technical achievement through substantial projects, open-source work, or comparable experience.
### Compensation & Benefits
Base salary is $130,000 to $170,000 annually, plus equity. Visa sponsorship is available for eligible candidates.
### Location
On-site in San Francisco, California. The role requires working in person six days per week. Relocation assistance is available.