3 hours ago
Base Salary
$130k - $170k/yr
Responsibilities
- Own the full AI/ML intelligence layer, including recommendation, ranking, and retrieval.
- Build and iterate on LLM-powered matching to improve candidate-role alignment.
- Take features from problem definition through production on a daily shipping cadence.
- Architect and maintain production data pipelines and services that run the models.
- Work directly with the founding team to translate product goals into shipped systems.
Requirements
- 2 to 5 years of production software engineering experience with genuine applied ML depth and models shipped to real users.
- Hands-on production experience building recommender systems, ranking algorithms, or ML-powered matching.
- Strong proficiency in TypeScript or Python, with either language sufficient on its own.
- Production experience with LLM APIs and shipping LLM-powered features.
- Experience building and maintaining production data pipelines and services.
- Strong computer science fundamentals and experience working in fast-paced, unstructured startup environments.
- Outstanding open-source contributions, notable personal projects, or a rigorous computer science background.
- Existing U.S. work authorization or eligibility for available sponsorship routes.
- React, Supabase, Prisma, Typesense, trigger.dev, embeddings, or vector search experience is a nice-to-have.
Benefits
- $130,000 to $170,000 annual salary 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 outside the Bay Area.