17 hours ago
Base Salary
$130k - $170k/yr
Responsibilities
- Own the AI/ML intelligence layer, including recommendation, ranking, and retrieval systems.
- Build and iterate on LLM-powered matching systems to improve candidate-to-role alignment.
- Take features from problem definition through production deployment and ship at a daily cadence.
- Architect and maintain production data pipelines and services supporting ML models.
- Partner directly with founders to translate product goals into shipped systems.
Requirements
- Have 2–5 years of production software engineering experience with applied ML depth and models shipped to real users.
- Have production experience building recommender systems, ranking algorithms, or ML-powered matching.
- Be proficient in TypeScript or Python.
- Have production experience with LLM APIs and LLM-powered features.
- Have hands-on experience with production ML frameworks such as PyTorch or TensorFlow.
- Have experience building and maintaining production data pipelines and services.
- Demonstrate strong computer science fundamentals and the ability to work in fast-paced, unstructured startup environments.
- Bring a standout technical profile through open-source contributions, notable personal projects, or a rigorous computer science background.
- Have a background at a credible VC-backed startup or well-regarded product company.
- Have existing U.S. work authorization or eligibility for available sponsorship routes.
- Preferred experience includes React, Supabase, Prisma, Typesense, trigger.dev, embeddings, and vector search.
Benefits
- Salary of $130,000 to $170,000 annually plus competitive founding-hire equity.
- Visa sponsorship is available for eligible candidates.
- On-site in San Francisco, California, six days per week.
- Relocation assistance is available for candidates moving to the Bay Area.