Machine Learning Engineer, Detection

Doppel seeks a Machine Learning Engineer to design, train, and deploy models that support detection of malicious or infringing content. The position is focused on both batch and real-time inference, with close collaboration to scale ML systems alongside large-scale web data ingestion.

What you will do

• Design, train, and deploy models for batch and real-time inference to identify malicious or infringing content across diverse data sources.
• Collaborate with the Detection and Infrastructure teams to ensure ML systems scale with the volume of web data ingested.
• Work across ML problem types, including NLP and embeddings, similarity search, classification, and anomaly detection.
• Work with customers and internal stakeholders to translate real-world threats into production-ready machine learning systems.

What you bring

• Experience building and deploying ML systems in production environments.
• Comfort working with large-scale datasets and distributed data processing frameworks.
• Understanding of the trade-offs between research-quality models and production-ready systems.
• Motivation to solve real-world problems where the adversary is continually evolving.

About the platform

Doppel is building an AI-native social engineering defense platform. The platform is designed to monitor billions of domains, social media accounts, apps, and dark web forums, and it uses AI agents to identify and neutralize digital threats.

Why Doppel

Doppel’s 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. Doppel also helps recognized brands detect and dismantle attacker infrastructure while strengthening employee resilience through threat-informed training and simulation. By unifying Digital Risk Protection, Human Risk Management, and Email Security, Doppel connects threats into a real-time intelligence graph to support faster disruption, smarter defense, and modern security awareness at scale.

Compensation and location

Location: New York, NY (onsite)
Salary: USD 150,000 - 400,000 per year

Benefits

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

What you will build at Doppel

Doppel scans over 150 billion entities daily and deploys continuously adaptive AI SOC agents alongside expert human analysts to uncover and disrupt the infrastructure behind phishing, impersonation, and online fraud before attacks can spread. The Threat Grid turns each customer signal into shared intelligence to make disruptions smarter, faster, and more effective.

Culture and expectations

Doppel offers a mission-driven culture with low ego, high ownership, deep customer obsession, and exceptional talent density.