4 days ago
Base Salary
$130k - $170k/yr
Responsibilities
- Own AI/ML systems for recommendations, ranking, and retrieval.
- Build and improve LLM-powered candidate-to-role matching.
- Turn product goals into working product features and ship them rapidly.
- Architect and maintain production data pipelines and services supporting models.
- Work directly with company leadership to deliver end-to-end product systems.
Requirements
- Two to five years of software engineering experience building and shipping production product features.
- Applied ML engineering experience at a product company or startup, including production recommendation, ranking, or matching systems.
- Experience shipping LLM-powered features using LLM APIs and hands-on experience with PyTorch, TensorFlow, or equivalent ML frameworks.
- Strong production engineering skills in TypeScript or Python, with experience maintaining data pipelines and services.
- Strong computer science fundamentals and comfort working in a fast-paced, iterative startup.
- Evidence of strong technical achievement through education, open-source work, or personal projects.
- React experience and familiarity with Supabase, Prisma, Typesense or similar search infrastructure, embeddings, vector search, or workflow automation tools are useful.
Benefits
- Base salary of $130,000 to $170,000 annually plus founding-hire equity.
- Visa sponsorship is available.
- On-site in San Francisco, California, working in person six days per week.
- Relocation assistance is available.