3 hours ago
Base Salary
$130k - $170k/yr
Responsibilities
- Own the AI/ML intelligence layer covering recommendation, ranking, and retrieval.
- Build and iterate on LLM-powered matching features that improve candidate-to-role alignment.
- Take features from problem definition through production independently on a rapid shipping cadence.
- Architect and maintain production data pipelines and services that models run on.
- Translate product goals into shipped systems in collaboration with the founding team.
Requirements
- 2 to 5 years of production software engineering experience with genuine applied ML depth.
- Hands-on production experience building recommender systems, ranking algorithms, or ML-powered matching.
- Production experience with LLM APIs and shipping LLM-powered features to real users.
- Strong proficiency in TypeScript or Python.
- Experience with production ML frameworks such as PyTorch or TensorFlow, or equivalent.
- Experience building and maintaining production data pipelines and services.
- Strong computer science fundamentals and evidence of exceptional technical achievement, such as notable open-source contributions or standout personal projects.
- Existing U.S. work authorization or eligibility for the currently available sponsorship route.
- React, Supabase, Prisma, Typesense, vector search and embeddings, or workflow automation tooling experience are 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 in a shared hacker house setup.
- Relocation assistance is available for candidates outside the Bay Area.