Abnormal Security is hiring a
Senior Backend 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 and/or ML systems/products
• Experience with real-time, online, and/or high-throughput & low-latency distributed systems
• Knowledge of key ML Ops team technologies (Spark, Data platform and Data coordination, Hadoop, Hive, feature platform serving systems, ML training and ML serving platforms, etc.)
• 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 ML Platform, such as our Behavioral Aggregate Systems, by 10x
• Collaborate closely with MLE teams, by distilling feedback, correlating it to our strategy, and executing on projects that solve key customer pain points
• Coach and mentor junior engineers via high quality code reviews and design reviews

Preferred Qualifications

• MS degree in Computer Science, Electrical Engineering or other related engineering field
• Experience with big data or statistics
• Experience in ML development
• Familiarity with cyber security industry