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Senior Software Engineer - Model Platform

Abnormal AI· Inbound Email Security
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RemoteFull-timePosted 1mo ago

About the role

Senior Software Engineer to architect, build, and maintain model serving and data processing infrastructure for Abnormal AI's Detection Engine, with focus on scalable ML-serving platforms and real-time pipelines.

Responsibilities

  • Architect, design, build, deploy, and maintain Model Serving infrastructure that supports a world-class Detection Engine
  • Own projects that scale our model serving and data processing services to handle 10x the traffic we serve today
  • Build the platform for fighting against rapidly generated AI attacks
  • Own real-time, near real-time streaming pipelines, and online feature serving services
  • Build Abnormal’s ML Training platform, improving MLE velocity and product precision and recall
  • Collaborate closely with MLE and Data Science teams by distilling feedback, correlating it to strategy, and executing
  • Coach and mentor junior engineers via 1on1s, pair programming, high-quality code reviews, and design reviews

Qualifications

  • 5+ years of experience as a Software Engineer or in a similar role, with hands-on experience in building ML-engineering focused solutions
  • Experience maintaining large-scale distributed systems on cloud platforms such as AWS, GCP, or Azure, including a strong grasp of cloud-based engineering best practices
  • Experience with maintaining real-time and near real-time data pipelines or streaming services at high scale
  • Proven ability to collaborate effectively with cross-functional teams, including data scientists, machine learning engineers, product managers, and other stakeholders
  • Excellent problem-solving skills and the ability to work independently in a fast-paced environment
  • Familiarity with machine learning workflows and requirements to support MLE teams effectively, including feature development and serving at 50K+ QPS, offline/online equivalency, large batch jobs for data gathering and training of tree and deep learning models
  • Experience with streaming data architectures and real-time processing
  • Knowledge of security and compliance frameworks as they relate to data engineering and data privacy

Skills

Required:Model Serving infrastructureDistributed systems on cloudReal-time data pipelines / streamingCross-functional collaboration

Benefits

  • Not specified in the description
Last updated Oct 24, 2026. Interested? Apply on the company site.

About Abnormal AI

The Behavioral Security Platform for the AI era.

AI SecurityAbnormal Behavioral Security PlatformBehavioral SecurityEmail SecurityIdentity SecurityInsider ThreatPlatformenterprise-infrastructure
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