Founding Engineer (AI/ML)

About the Role

What You'll Do

What We're Looking For

Compensation & Benefits

Location

• On-site in San Francisco, California, six days per week. Candidates must be based in San Francisco or willing to relocate.

Qualifications

• 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.

Responsibilities

• 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.
• 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.
• 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.
• On-site in San Francisco, California, six days per week. Candidates must be based in San Francisco or willing to relocate.