Abnormal Security

Senior Software Engineer - Machine Learning Infrastructure

Remote Canada
Machine Learning Spark Hadoop
Description

About the Role

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

 

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