🛠 Tech Stack

💼 About This Role

You'll design and deploy ML models to detect social engineering threats across digital channels. Your work will directly impact the safety of millions by identifying scams, deepfakes, and fraud at scale. You'll collaborate with top-tier investors and customers like OpenAI and Coinbase.

🎯 What You'll Do

• Design, train, and deploy models for batch and real-time inference
• Partner with Detection and Infrastructure teams to scale ML systems
• Work on NLP, embeddings, similarity search, classification, anomaly detection
• Translate real-world threats into production ML systems with customers

📋 Requirements

• Production ML deployment experience
• Comfortable with large-scale datasets and distributed processing
• Understanding of research-to-production trade-offs

✨ Nice to Have

• Experience in cybersecurity or fraud detection
• Background in NLP or anomaly detection

🎁 Benefits & Perks

• 🍽️ Free lunch and dinner in the office
• 🌴 Flexible PTO
• ✈️ Quarterly team offsites
• 📈 Equity included in compensation

📨 Hiring Process

Estimated timeline: 2-3 weeks · AI estimate

1. 1Recruiter Screen· 30 min
2. 2Technical Interview· 60 min
3. 3Hiring Manager· 45 min