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Machine Learning Engineer 1

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Machine Learning Engineer 1 in Remote new

  • Abnormal Security
  • Full time
  • Email
  • Singapore

Responsibilities

  • Partner with product, technical, and engineering stakeholders to align technical deliverables with roadmap milestones and support general-availability launches.
  • Own the end-to-end ML lifecycle for misdirected email, including data wrangling, feature engineering, model training, evaluation, deployment, and monitoring.
  • Run offline evaluations, online A/B tests, threshold-setting, targeted error analysis, and post-launch monitoring to improve model efficacy and prevent regressions.
  • Investigate production data and behavioral or trend shifts, and launch experiments that improve detection reliability and customer impact.
  • Participate in an on-call rotation for owned components, resolving efficacy-related alerts and investigating customer or internal reports of false positives and false negatives.
  • Maintain technical documentation and communicate effectively across distributed, cross-functional teams.

Requirements

  • Bachelor's degree in Computer Science, Machine Learning, Artificial Intelligence, Information Systems, or a related engineering or quantitative field.
  • At least 1 year of experience building and operating applied ML features in production systems.
  • Experience contributing to end-to-end ML systems, including data wrangling, feature engineering, model selection, training, evaluation, production deployment, and monitoring.
  • Ability to implement and reason about algorithms, develop features, combine signals, and apply numerical computing effectively.
  • Experience interrogating production data, identifying behavioral or trend shifts, and running targeted experiments to improve model efficacy.
  • Understanding of online and offline pipelines, data tables, and labeling workflows for safe and scalable model deployments.
  • Experience with offline metrics, online A/B tests, threshold-setting, drift and performance monitoring, guardrails, and rollback strategies.
  • Strong written and asynchronous communication skills and the ability to work independently across distributed, cross-functional teams.
  • Preferred experience with Python, Go, AWS, Spark, and Databricks.
  • Preferred experience in email security, data loss prevention, misdirected email prevention, customer-focused ML deployments, detector or rule development, and operationalizing research into reliable customer-facing systems.

Abnormal Security

Abnormal AI is the leading AI-native human behavior security platform, leveraging machine learning to stop sophisticated inbound attacks and detect compromised accounts across email and connected applications.

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