Senior Backend Software Engineer - ML Infra

Abnormal Security is looking for a Senior ML Infra Engineer to join the Detection Team. The Detection Division is focused on building the world’s most advanced technology for identifying and stopping email and cloud-based attacks that were previously undetectable and help make the world a safer place.

As an ML Infra Engineer focused on building systems for Detection’s Signal Platform, you will be responsible for making feature development at Abnormal a fast, responsive, stable, and confident experience for Machine Learning Engineers. The ideal candidate would have the following qualities: • A first principles approach to building scalable, customer-centric solutions • A drive to solve meaningful & pragmatic problems for real-world people • An ownership and impact oriented outlook on your efforts and growth • An ability to iterate in real-time-solving novel problems, quickly and autonomously An ability to iterate in real-time - solving novel problems, quickly and autonomously What you will do • 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 the • Coach and mentor junior engineers via high quality code reviews and design reviews Must Haves • 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.) • 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 Nice to Have • 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