Machine Learning Engineer, Detection

Responsibilities

• Design, train, and deploy models for both batch and real-time inference to identify malicious or infringing 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 evolving adversary problems

Benefits

• Free lunch and dinner in the office
• Flexible PTO
• Quarterly team offsites

About the Company

Doppel is building an AI-native social engineering defense platform. Backed by Andreessen Horowitz and Bessemer Venture Partners, the company uses agentic AI to protect brands and individuals from phishing, impersonation, and fraud.