Coris (YC S22) Is Hiring
4 days ago
- #AI Engineer
- #Fraud Detection
- #LLM Optimization
- Coris is building an AI-first trust layer for global commerce, focusing on small business onboarding, monitoring, and lifecycle decisions.
- The AI Engineer role involves optimizing language models for fraud/risk contexts and building backend infrastructure for production at scale.
- Key responsibilities include fine-tuning LLMs for fraud detection, optimizing inference, building training/eval pipelines, and feature engineering.
- Backend tasks include architecting Django services, modeling fraud/risk data in Postgres, and building data ingestion pipelines.
- Ideal candidates have 3+ years of Python/Django experience, hands-on LLM fine-tuning, and a track record in reducing ML inference latency/cost.
- Success metrics include deploying efficient fraud models, establishing robust fine-tuning pipelines, and integrating real-time fraud scoring APIs.
- Coris emphasizes a bias toward action, measurable impact, and an in-person culture with at least 4 days a week in the Palo Alto office.