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nlp machine learning distributed systems embeddings classificationπ Description
- Design, train, and deploy batch and real-time ML models.
- Partner with Detection and Infrastructure teams to scale ML systems.
- Tackle NLP, embeddings, similarity search, classification, anomaly detection.
- Collaborate with customers and stakeholders to translate threats into ML systems.
π― Requirements
- Experience building and deploying ML systems in production.
- Experience with large-scale datasets and distributed processing.
- Balance research-quality models with production-ready systems.
- Motivated to solve evolving real-world threats.
π Benefits
- Mission-driven culture with ownership and high standards.
- Free lunch and dinner in the office.
- Flexible PTO.
- Quarterly team offsites.
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