5 hours ago
Base Salary
$130k - $170k/yr
Responsibilities
- Develop and operate recommendation, ranking, and retrieval systems.
- Build LLM-powered matching features that improve candidate and role alignment.
- Take features from problem definition through production and ship at a rapid cadence.
- Architect and maintain data pipelines and services supporting production models.
- Partner with the founding team to translate product goals into working systems.
Requirements
- Two to five years of professional software engineering experience building and shipping end-to-end product features.
- Production experience with recommendation systems, ranking algorithms, or ML-powered matching, including personally shipping ML models or products to users.
- Strong production engineering skills in TypeScript or Python and hands-on experience with PyTorch, TensorFlow, or an equivalent ML framework.
- Experience building LLM-powered features with production APIs and maintaining production data pipelines and services.
- Strong computer science fundamentals and experience in fast-paced, rapidly iterating environments.
- Demonstrated technical achievement through substantial projects, open-source work, or comparable experience.
- React, Supabase, Prisma, Typesense or similar search infrastructure, embeddings, vector search, and workflow automation tools are useful additions.
Benefits
- Base salary of $130,000 to $170,000 annually plus equity.
- Visa sponsorship is available for eligible candidates.
- On-site in San Francisco, California, with in-person work required six days per week.
- Relocation assistance is available.