Doppel is building an AI-native social engineering defense platform that helps protect people and brands from phishing, impersonation, fraud, and other AI-powered threats across digital channels. As a Machine Learning Engineer, Detection in New York, you’ll design, train, and deploy models that drive Doppel’s detection systems for malicious or infringing content across diverse data sources, including both batch and real-time inference.
This role sits at the intersection of machine learning and large-scale web data ingestion, with close collaboration across Detection and Infrastructure teams to keep models effective as data volume and threat patterns change.
What you’ll do
- Design, train, and deploy models that support both batch and real-time inference to identify malicious or infringing content across multiple data sources.
- Partner with the Detection and Infrastructure teams to ensure ML systems scale with the volume of web data Doppel ingests.
- Work across a range of ML problems, including NLP and embeddings, similarity search, classification, and anomaly detection.
- Collaborate with customers and internal stakeholders to translate real-world threats into production ML 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.
- Excitement for solving real-world problems where the adversary is constantly evolving.
About Doppel’s platform
Doppel’s AI-native defense platform monitors billions of domains, social media accounts, apps, and dark web forums, using AI agents to identify and neutralize digital threats. The organization unifies Digital Risk Protection, Human Risk Management, and Email Security, connecting threats into a real-time intelligence graph to enable faster disruption and modern security awareness at scale.
Doppel scans over 150 billion entities daily and deploys continuously adaptive AI SOC agents, paired with expert human analysts, to uncover and disrupt attacker infrastructure behind phishing, impersonation, and online fraud before attacks spread. Its Threat Grid turns customer signals into shared intelligence to make each disruption smarter, faster, and more effective.
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
