Abnormal Security

Senior Software Engineer - Model Platform

Abnormal Security
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5 hours ago
Remote, CanadaSenior

Responsibilities

  • Architect, design, build, deploy, and maintain model-serving infrastructure for the Detection Engine.
  • Scale model-serving and data-processing services to handle 10 times current traffic.
  • Build real-time and near-real-time streaming pipelines and online feature-serving services.
  • Build and improve the ML training platform to increase ML Engineering velocity and product precision and recall.
  • Support feature serving at 50K+ QPS, offline/online equivalency, and large batch jobs for data gathering and model training.
  • Collaborate with ML Engineering, Data Science, product, and other cross-functional teams to execute technical strategy.
  • Coach and mentor junior engineers through one-on-ones, pair programming, code reviews, and design reviews.

Requirements

  • At least 5 years of experience as a Software Engineer or in a similar role, including hands-on ML-engineering-focused solutions.
  • Experience maintaining large-scale distributed systems on cloud platforms such as AWS, GCP, or Azure.
  • Experience maintaining high-scale real-time and near-real-time data pipelines or streaming services.
  • Familiarity with machine learning workflows and requirements, including feature development and serving, offline/online equivalency, large batch jobs, and training tree and deep-learning models.
  • Experience with streaming data architectures and real-time processing.
  • Knowledge of security and compliance frameworks related to data engineering and data privacy.
  • Ability to collaborate with data scientists, machine learning engineers, product managers, and other stakeholders and translate requirements into actionable technical tasks.
  • Strong problem-solving skills and ability to work independently in a fast-paced environment.

Categories

BackendData EngineeringML Engineering
Abnormal Security

About Abnormal Security

1,001-5,000 employees

Abnormal Security builds an AI-based cloud email and SaaS security platform for enterprises, preventing phishing, business email compromise, and account takeover. Its products integrate natively with Microsoft 365, Google Workspace, and other business apps, delivered as a subscription service. Founded in 2018 and headquartered in Las Vegas, Nevada, the privately held company focuses on securing large organizations’ email and connected applications.

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