Software Engineer II

Machine Learning Infrastructure

Confirmed live in the last 24 hours

Abnormal Security

Abnormal Security

501-1,000 employees

AI-based email and collaboration security platform

AI & Machine Learning


Remote in Canada

Required Skills
Apache Spark
Apache Hive
Data Analysis
  • 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
  • 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

Abnormal Security provides a cloud-native email security platform, leveraging AI-based behavioral anomaly detection to prevent a wide range of email attacks. Working here offers exposure to cutting-edge technology in a critical area of cybersecurity, protecting collaboration platforms from advanced threats. Its trusted adoption by over 10% of the Fortune 500 highlights its strong industry position and commitment to major enterprise security.

Company Stage

Series C

Total Funding



San Francisco, California



Growth & Insights

6 month growth


1 year growth


2 year growth



Competitive pay and equity

One of the most proven machine learning teams in Silicon Valley

Best-in-class customer traction and growth

Team-wide commitment to excellence, velocity, and customer-focus

Strong growth opportunities and high ownership expectations

Full medical, dental, and vision health insurance benefits

Daily catered lunches and snacks

Generous PTO