Overview
ABOUT THE ROLE
Full job description
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.
Tips for this job
Practical JobOpportunity guidance. These tips do not replace official rules or create new eligibility requirements.
- Tailor the CV and application to the responsibilities and required skills stated on the official employer page.
- Use concrete evidence of relevant work, projects and measurable results rather than generic claims.
- Confirm location, work authorization, remote restrictions and sponsorship terms before applying.
- Apply through the original employer or official recruitment destination shown on this page.
JobOpportunity.info helps you discover and organize source listings. Confirm eligibility, dates, salary/funding and application instructions on the original source before submitting anything.
Apply through JobOpportunity →