🛠 Tech Stack

💼 About This Role

You'll architect and build scalable ML systems for fraud detection, anomaly detection, and behavioral analysis. You'll develop end-to-end ML pipelines and low-latency real-time decision systems. This role offers hypergrowth impact at a company funded by top fintech and crypto investors.

🎯 What You'll Do

• Architect and build scalable ML systems for fraud detection
• Develop and maintain end-to-end ML pipelines
• Design and implement low-latency real-time decision systems
• Build robust monitoring and alerting for model performance

📋 Requirements

• 5+ years building ML systems in production
• 2+ years in fraud, risk, or anomaly detection domains
• Advanced proficiency in Python and ML frameworks (e.g., PyTorch, scikit-learn)
• Proven track record designing and maintaining ML models at scale

✨ Nice to Have

• Domain expertise in banking, payments, or transaction monitoring
• Experience with graph-based fraud detection techniques
• Graduate degree in a related technical field

🎁 Benefits & Perks

• 🏖️ Unlimited time off (min 10 days required)
• 💻 Flexible working with home office stipend
• 🧠 Comprehensive health, dental, vision (US) + life insurance
• 💡 401(k) with 4% match
• 📦 Equity plan