Machine Learning Engineer
Core
Design and deploy scalable ML systems for real-time spam prevention, abuse detection, and account security in a privacy-focused email ecosystem.
Role type
Senior IC Machine Learning Engineer (Security/ML Ops)
Builds
Agentic AI systems for autonomous threat detection, adaptive policy enforcement, and self-healing security responses.
Domain
Cybersecurity / Anti-abuse / Privacy-preserving AI
Deliverable
production ML models
Required skills
Python, MLOps, LLMs in agentic environments, statistical rigor, distributed systems, adversarial ML, graph-based anomaly detection
Preferred skills
federated learning, differential privacy, on-device inference, technical leadership, security mindset
Technologies
Python, MLOps tools, LLM frameworks, graph databases
Responsibilities
Design and deploy scalable ML systems using modern MLOps practices; Architect agentic AI systems capable of autonomous threat detection; Build tools for model development, debugging, and explainability; Optimize ML workflows for distributed environments; Collaborate cross-functionally with security analysts and engineers; Advance the state of ML for anti-abuse and account security.
Seniority
Mid-Senior, hands-on IC
