Abnormal Security is hiring a
Senior Software Engineer

Summary

Join Abnormal Security as a Senior ML Infra Engineer to build systems for the Detection Team's Signal Platform, focusing on making feature development fast, responsive, stable, and confident for Machine Learning Engineers.

Requirements

• 5+ years of professional experience as a hands-on engineer building data-oriented products
• Experience with real-time, online, and/or high-throughput & low-latency distributed systems
• Works well with other stakeholders - has worked with cross-functional teams to drive projects over the finish-line
• High standards - sets high standards and expectations for project execution for themselves and for collaborators

Responsibilities

• Architect, design, build, and deploy backend services and infrastructure that support a world-class Detection Engine
• Ownership projects that enable us to meet ambitious goals for, such as building the plan to scale components of Detection’s Scoring Pipeline by 10x
• Collaborate closely with MLE teams, by distilling feedback, correlating it to our strategy, and executing
• Coach and mentor junior engineers via 1on1s, pair programming, high quality code reviews and design reviews

Preferred Qualifications

• Knowledge of ML systems/products and/or distributed system technologies (Kafka, Redis, Docker, Kubernetes, feature platform serving systems, ML training and ML serving platforms, etc.)
• Experience working with high-throughput online systems in Python and/or Go
• MS degree in Computer Science, Electrical Engineering or other related engineering field
• Familiarity with cyber security industry