Design, train, and deploy models for batch and real-time inference across data sources.
Partner with Detection and Infrastructure to scale ML systems with data volume.
Work on NLP, embeddings, similarity search, classification, and anomaly detection.
Collaborate with customers and internal stakeholders to translate threats into production ML systems.

🎯 Requirements

Experience building and deploying ML systems in production environments.
Comfortable with large-scale datasets and distributed data processing frameworks.
Balance research-quality models with production-ready systems.
Motivated by solving evolving real-world threats.

🎁 Benefits

Mission-driven culture with ownership and customer focus.
Free lunch and dinner in the office.
Flexible PTO.
Quarterly team offsites.

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