Software Engineer II - Machine Learning Infrastructure

About the Role

Abnormal Security is looking for an 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 

Must Haves 

• 2-5 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.) and data processing frameworks 
• 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 the cybersecurity industry

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