Doppel is built to outsmart one of the great threats AI presents: mass-manufactured social engineering. Countless scams, deepfakes, and other social engineering attacks are surging across every digital channel: websites, social media, ads, encrypted messaging apps, mobile, and more. Doppel's mission is to make the internet a safer place by outsmarting the world’s fastest-evolving online threats.
Requirements
- Have experience building and deploying ML systems in production environments
- Are comfortable working with large-scale datasets and distributed data processing frameworks
- Understand the trade-offs between research-quality models and production-ready systems
Responsibilities
- 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
Other
- 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
- If you’re driven to solve real-world problems with bold technology, we’d love to meet you.
