Machine Learning Engineer, Detection

About the Company

Doppel is building the future of social engineering defense. Our AI-native platform uses agentic AI to protect executives, employees, customers, and brands from phishing, impersonation, fraud, and other AI-powered threats across digital channels. Backed by leading investors including Andreessen Horowitz and Bessemer Venture Partners, Doppel is a rapidly growing Series C startup.

Responsibilities

• Design, train, and deploy models for both batch and real-time inference to identify malicious content
• Partner with Detection and Infrastructure teams to ensure ML systems scale with web data volume
• Work on problems involving NLP, embeddings, similarity search, classification, and anomaly detection
• Collaborate with customers and stakeholders to translate real-world threats into production ML systems

Requirements

• Experience building and deploying ML systems in production environments
• Proficiency working with large-scale datasets and distributed data processing frameworks
• Understanding of trade-offs between research-quality models and production-ready systems
• Interest in solving real-world problems against evolving adversaries

Benefits

• Mission-driven culture with high ownership
• Free lunch and dinner in the office
• Flexible PTO
• Quarterly team offsites
• Equity offers