Machine Learning Engineer, Detection (NY)
Doppel · New York, United States · 2 wk ago
HybridEngineeringFull-time
Why Join Doppel
Doppel 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.
What We're Building
We're building the AI-native social engineering defense platform. This means we're designing scalable systems that monitor billions of domains, social media accounts, apps, dark web forums, etc., and leverage AI agents to identify and neutralize digital threats.
What We're Looking For
- Design, train, and deploy models for both batch and real-time inference that identify malicious or infringing content across diverse data sources.
- Partner closely with the Detection and Infrastructure teams to ensure our ML systems scale with the volume of web data we ingest.
- Work on problems that range from NLP and embeddings to similarity search, classification, and anomaly detection.
- Collaborate directly with customers and internal stakeholders to translate real-world threats into production ML systems.
Who We're Looking For
We’re looking for a machine learning engineer to help build and scale the models and systems that power Doppel’s detection systems. Check out our blog post on how we set up our ML platform.
As an MLE at Doppel, you will:
- Design, train, and deploy models for both batch and real-time inference that identify malicious or infringing content across diverse data sources.
- Partner closely with the Detection and Infrastructure teams to ensure our ML systems scale with the volume of web data we ingest.
- Work on problems that range from NLP and embeddings to similarity search, classification, and anomaly detection.
- Collaborate directly with customers and internal stakeholders to translate real-world threats into production ML systems.
What You'll Bring
- Experience building and deploying ML systems in production environments.
- Comfortable working with large-scale datasets and distributed data processing frameworks.
- Understanding of the trade-offs between research-quality models and production-ready systems.
- Excitement about solving real-world problems where the adversary is constantly evolving.
What We Offer
- A mission-driven culture with low ego, high ownership, deep customer obsession, and exceptional talent density.
- Free lunch and dinner in the office.
- Flexible PTO.
- Quarterly team offsites.