🛠 Tech Stack

💼 About This Role

You'll detect fraud and fake accounts in milliseconds by building real-time signals and ML models. Your work will protect high-growth companies from bots and bad actors, owning the streaming architecture that separates real users from attackers instantly.

🎯 What You'll Do

• Create and deploy real-time signal collection and modeling architecture
• Develop infrastructure for large-scale data pipelines
• Build ML models and heuristic logic to adapt to shifting attack vectors
• Optimize event pipeline latency for instant scoring

📋 Requirements

• 4+ years as an engineer, data scientist, or ML engineer
• Handling high-volume data ingestion in production
• End-to-end ML modeling from data collection to monitoring

✨ Nice to Have

• Experience with digital forensics or adversarial modeling
• Familiarity with GKE, Spanner, Starrocks, or Redis

🎁 Benefits & Perks

• 🍽️ Free Lunch - personalized your way
• 💰 $10K Relocation Bonus
• 🏥 100% Insurance Coverage
• 📈 4% 401K Match
• 🏖️ Unlimited Vacation plus up to 20 remote days annually

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter Call· 30 min
2. 2Technical Screen· 60 min
3. 3On-site Interview· 4 hours