5 months ago
Toronto, CanadaMid Level
Base Salary
$112k - $262k/yr
Responsibilities
- Design, train, and deploy models for batch and real-time inference.
- Develop detection capabilities using NLP, embeddings, similarity search, classification, and anomaly detection.
- Partner with Detection and Infrastructure teams to scale ML systems with Doppel’s web-data volume.
- Collaborate with customers and internal stakeholders to translate real-world threats into production ML systems.
Requirements
- Experience building and deploying machine learning 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.
- Interest in solving real-world security problems involving constantly evolving adversaries.
Benefits
- Free lunch and dinner in the office
- Flexible paid time off
- Quarterly team offsites
Categories
About Doppel
Doppel builds an AI-driven social engineering defense platform that unifies email security, digital risk/brand protection, and human risk management for enterprises. The SaaS platform disrupts phishing and impersonation by scanning across web and communication channels and executing automated takedowns of lookalike domains, rogue profiles, and malicious infrastructure. Privately held and founded in 2022, it is backed by a16z and Bessemer, with customers including OpenAI, United Airlines, and Coinbase.