Coris (YC S22) Is Hiring

Summary

AI Engineer Location: SF Bay Area ( 4+ days in office ) Experience Level: 3–5+ years Stack: Python, PyTorch, ML, LLMs, Django Type: Full-time 🧠 About Coris Coris is building the AI-first trust layer for global commerce. We partner with leading platforms, marketplaces, payment providers, and banks to transform how small business onboarding, monitoring, and lifecycle decisions are made - using AI on the ground to drive faster, smarter actions with less friction. One of our customers described us as Cursor + Lovable for risk teams: flagging bad actors, assisting in investigations, and autonomously acting to mitigate fraud losses in real time. Backed by top-tier investors and founded by experts in the payments domain, Coris is reimagining how risk gets done - not with legacy rule engines, but with domain-specific AI that thinks like your best risk analyst at scale. We help customers scale their expertise, move faster, and unlock growth - without compromising safety. 🚀 Why this role matters Fraud detection and Risk mitigation is a uniquely hard ML problem: Adaptive adversaries - fraudsters continuously evolve tactics, so models must adapt faster than static rules. Data sparsity and imbalance - only a tiny fraction of transactions are fraudulent, but they cost millions. Latency and scale - decisions need to happen in tens of milliseconds at hundreds of millions of events per month, without ballooning infra costs. This role is for someone who wants to optimize language models for fraud/risk contexts and build the backend infra that productionizes them at scale. 🥷 What you’ll do AI/ML (~50%) Fine-tune, distill, and quantize LLMs and small language models (SLMs) for fraud detection tasks: entity resolution, anomaly detection, customer communication classification, synthetic data generation. Optimize inference so our models run fast and cost-efficiently in production - using techniques like lightweight fine-tuning (LoRA/PEFT), quantization to smaller precisions, and modern se...