Greenfield opportunity to build search, recommendation, and knowledge systems from the ground up. Backend-leaning role focused on designing and scaling intelligent retrieval pipelines, data engineering, and AI-driven discovery across massive, messy document sets.
Requirements
- 5+ years of professional software engineering experience.
- Experience building search systems, data pipelines, or recommendation systems at a startup (ideally Series B/C).
- Background in data science, information retrieval, or recommendation systems.
- Hands-on experience with embeddings, vector search, or RAG.
- Strong backend development expertise with TypeScript / Node.js.
- Comfort working with large, messy, real-world datasets.
- PhD or Master's in Machine Learning or related field (higher studies can offset some years of experience).
- Self-starter with an ownership mentality who thrives in a fast-paced startup environment.
- Must be a US Person per ITAR.
Benefits
- Competitive equity
- Full-time employment
- On-site 5 days/week