2-5 years of experience in end-to-end software development and deployment.
Hands-on experience with recommendation and machine learning-based matching systems.
Experience with LLM API-powered features and deploying machine learning models.
Proficient in TypeScript or Python, with knowledge of PyTorch or TensorFlow.
Experience in building and maintaining production data pipelines.
At least 6 months of relevant experience in the U.S. at a recognized company or startup.
Ability to thrive in a fast-paced startup environment.
Responsibilities
Own the design and production of recommendation, ranking, and retrieval systems.
Build and enhance LLM-powered matching features, assessing their effectiveness.
Drive product features from concept to production, delivering rapid improvements.
Architect and maintain data pipelines and services for machine learning models.
Collaborate with leadership to translate product goals into functional systems.
Benefits
Founding-hire equity participation.
Visa sponsorship available for eligible candidates.
Full Job Description
About the Role
As a Founding Engineer focused on AI and machine learning, you will own the intelligence layer of an AI recruiting marketplace. You will build recommendation, ranking, retrieval, and LLM-powered matching systems that help connect candidates with relevant roles. What You'll Do
Own recommendation, ranking, and retrieval systems from design through production.
Build and improve LLM-powered matching features, measuring their impact on candidate-role alignment.
Take product features from problem definition to production and ship improvements at a rapid pace.
Architect and maintain the data pipelines and production services that support machine learning models.
Work directly with company leadership to turn product goals into deployed systems.
What We're Looking For
Two to five years of experience building and shipping end-to-end software features in production.
Hands-on experience building recommendation, ranking, or machine learning-based matching systems for real users.
Experience building LLM API-powered features and shipping machine learning models or products to production.
Strong production engineering skills in TypeScript or Python, along with experience using PyTorch, TensorFlow, or equivalent frameworks.
Experience building and maintaining production data pipelines and services, with strong computer science fundamentals.
More than six months of substantive work experience in the United States, plus a substantive machine learning role at a recognized product company or credible startup.
Comfort working in a fast-paced startup environment with frequent iteration and daily shipping.
Demonstrated technical achievement through strong open-source contributions, notable personal projects, or comparable accomplishments.
React experience is helpful, as is familiarity with Supabase, Prisma, database design, Typesense or similar search infrastructure, embeddings, vector search, and workflow automation tools.
Compensation & Benefits
Base salary is $130,000 to $170,000 annually, plus founding-hire equity. Visa sponsorship is available for candidates eligible for a supported sponsorship route. Location
On-site in San Francisco, California, six days per week. Candidates must be based in San Francisco or willing to relocate.
