ABOUT THE ROLE Build the intelligence layer for an AI-powered recruiting marketplace, including the systems that recommend and match candidates with roles. As a founding engineer, you will own this core product area and work closely with company leadership to turn product goals into production systems. WHAT YOU'LL DO - Build and own recommendation, ranking, retrieval, and matching systems. - Develop LLM-powered features that improve alignment between candidates and roles. - Take product features from problem definition through implementation and production release. - Architect and maintain the data pipelines and services that support production models. - Collaborate with company leadership and ship improvements at a rapid cadence.
WHAT WE'RE LOOKING FOR - Two to five years of experience building and shipping end-to-end software features in production environments. - Production experience with recommendation systems, ranking algorithms, or ML-powered matching. - Applied machine learning experience, including shipping models or ML-powered products to users. - Proficiency in TypeScript or Python, plus experience with production LLM APIs and ML frameworks such as PyTorch or TensorFlow, or equivalent. - Experience building and maintaining production data pipelines and services, ideally in a fast-paced startup environment. - Strong computer science fundamentals and evidence of notable technical work, such as open-source contributions or personal projects. - Helpful experience includes React, embeddings, vector search, Supabase, Prisma, Typesense, or workflow automation tools.
COMPENSATION & BENEFITS Base salary is $130,000 to $170,000 annually, plus founding-hire equity. Visa sponsorship is available for eligible candidates. LOCATION On-site in San Francisco, California. This role works in person six days per week.
Job description provided by Clera.
View the original posting
