Looking for an AI engineer who can own the full stack from raw data to shipped models. Someone who is strong across ML, data infrastructure, and LLM-powered features, and knows how to move fast without cutting corners on reliability.
What you'll do
- Build and improve the matching engine using ML models and embeddings
- Design and maintain data pipelines that feed model training and product features
- Ship LLM-powered features into the product using frontier models
- Own evals and monitoring so models don't silently degrade
- Work directly with founders to identify the highest-leverage AI bets
You
- Proven track record across ML, data engineering, or AI systems in production
- Experience with LLM APIs, embeddings, RAG, or agentic patterns
- Comfortable owning data pipelines alongside modeling work
- Startup or founding team experience preferred
Compensation and Benefits
- Compensation: $128k to $150k per year + equity
- Fully remote and async, work from anywhere on your own schedule
- The same salary regardless of where you live
- No micromanagement, no unnecessary calls
- Real flexibility, take time for life stuff without asking for approval
- Work in your own flow, pajamas welcome
- 30 paid OOO days per year, anywhere in the world
- A people-first culture that's reliable, family-friendly, and kind
- Calm, low-distraction culture to do your best work