Job Description
Job DescriptionAbout 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
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Design and build recommendation, ranking, and retrieval systems for candidate-role matching.
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Develop LLM-powered features and improve matching quality using measurable outcomes.
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Take product features from problem definition to production, shipping at a rapid cadence.
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Build and maintain the data pipelines and backend services that support production models.
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Work with company leadership to translate product goals into working systems.
What We're Looking For
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Two to five years of experience building and shipping end-to-end software features in production.
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Production experience with recommendation systems, ranking algorithms, or ML-powered matching.
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Experience shipping ML models or ML-powered products to users, with hands-on work in PyTorch, TensorFlow, or equivalent frameworks.
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Proficiency in TypeScript or Python and experience building production features with LLM APIs.
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Experience maintaining production data pipelines and services, ideally in a fast-moving startup environment.
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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.