3 months ago
Base Salary
$150k - $365k/yr
Responsibilities
- Design, train, and deploy models for batch and real-time inference.
- Collaborate with Detection and Infrastructure teams to scale ML systems.
- Work on NLP, similarity search, classification, and anomaly detection problems.
- Translate real-world threats into production ML systems in collaboration with customers.
Requirements
- Experience building and deploying ML systems in production environments.
- Comfortable working with large-scale datasets and distributed data processing frameworks.
- Understanding of trade-offs between research-quality models and production-ready systems.
- Excitement for solving real-world problems with evolving adversaries.
Benefits
- Mission-driven culture with low ego and high ownership.
- Free lunch and dinner in the office.
- Flexible PTO.
- Quarterly team offsites.
Categories
AI & MLData Science