8 months ago
Base Salary
$150k - $365k/yr
Responsibilities
- Design, train, and deploy models for batch and real-time inference to identify malicious or infringing content.
- Partner with Detection and Infrastructure teams to scale ML systems with Doppel’s web data volume.
- Work on NLP, embeddings, similarity search, classification, and anomaly detection problems.
- Collaborate with customers and internal stakeholders to translate real-world threats into production machine learning 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 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.