🛠 Tech Stack

💼 About This Role

You'll own the full ML lifecycle from feature design to production for AI-driven risk and fraud solutions. Your work will directly impact business identity verification and trust at a fast-growing fintech. You'll collaborate with a strong team backed by top-tier investors like Sequoia Capital and Accel Partners.

🎯 What You'll Do

• Lead end-to-end ML lifecycle from feature engineering to production monitoring
• Build high-performance classification models for risk, fraud, and compliance
• Proactively monitor models, detect drift, and retrain for reliability
• Contribute to feature store, model management, and training/serving pipelines

📋 Requirements

• 4+ years applied ML experience in risk, fraud, or compliance domains
• Proven track record owning ML models end-to-end in production
• Strong software engineering skills in Python and ML frameworks
• Hands-on experience with ML infrastructure like feature stores and model management

✨ Nice to Have

• B2B SaaS experience building ML for enterprise customers
• Familiarity with graph or LLM-based feature generation
• Experience scaling ML across multiple products or risk domains

🎁 Benefits & Perks

• 💰 Competitive salary with equity
• 🏖️ Unlimited PTO
• 🩺 Comprehensive health coverage