Principal Machine Learning Engineer, Alt Defense

📋 Description

• Lead the technical vision for alternate account detection and proactive prevention.
• Architect high-scale ML systems using Graph Neural Networks and clustering.
• Solve ground-truth and training data challenges for adversarial use cases.
• Build low-latency, large-scale detection within minutes.
• Develop adversarial defenses to outpace evolving actor tactics.
• Drive ML roadmap using big data and signals to improve precision.

🎯 Requirements

• MS or PhD in Computer Science, Machine Learning, or related field.
• 10+ years in Applied ML, with focus on anti-abuse, fraud, or identity.
• Expertise in Graph Learning: large-scale GNNs (GraphSAGE) and unsupervised clustering.
• Proven track record of leading complex technical projects from concept to production.
• Experience deploying ML models in low-latency, high-throughput environments with time-to-detect KPI.
• Adversarial mindset: think like a bad actor to anticipate detection and build defenses.

🎁 Benefits

• Equity compensation for all full-time employees.
• Equal opportunity employer; non-discrimination.
• Reasonable accommodations during recruiting.