Senior Machine Learning Systems Builder

📋 Description

• Own detection capabilities end to end: from problem framing to production telemetry.
• Build and maintain data pipelines for model training: data collection, labeling, feature
• Design, train, evaluate models; produce runtime-portable artifacts (e.g., ONNX) consumed by
• Automate model build/release pipelines (e.g., SageMaker Pipelines) for reproducible training and
• Manage production model quality: telemetry feedback, drift monitoring, retraining cadence.
• Design evaluation methodology for adversarial, drifting domains with strict false positive ceilings.

🎯 Requirements

• 3+ years applied ML across text/content classification, computer vision, similarity/search, or
• End-to-end delivery: models from data to production in customer-facing systems.
• Experience building data pipelines for model training: data collection, labeling, ground truth
• Strong Python; PyTorch or TensorFlow; experience with model evaluation frameworks.
• Solid statistics and experiment design, especially under distribution shift.
• Comfort integrating with ONNX consumption from JVM services.

🎁 Benefits

• Innovative Environment: work at cybersecurity frontier with cutting-edge tech.
• Collaborative Culture: valued teamwork and diverse, talented colleagues.
• Professional Growth: ongoing training and development opportunities.
• Impactful Work: contribute to securing the digital world for organizations worldwide.
• Fun and Dynamic Atmosphere: team-building activities and social events.