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Machine Learning Engineer 1
Machine learningWorkplace — unknown
Published on 2026-10-27
These details were extracted automatically from the original listing. They may not be complete or fully up to date — it's worth checking the original job post.
About this role
Build and operate end-to-end machine learning systems that detect and block misdirected outbound emails. The role combines experimentation, production deployment, and monitoring to improve detection reliability and customer outcomes.
About the company
Abnormal Security uses AI to detect and stop email and collaboration attacks such as phishing and business email compromise. It protects enterprises against social engineering and account takeover.
The team
Misdirected Email Detection (MED) team
Stack
PythonGoAWSSparkDatabricks
What you'll do
- Own the ML lifecycle, from data preparation and feature engineering through deployment and monitoring
- Run offline evaluations and online A/B tests, set thresholds, and analyze errors
- Investigate production trends and improve model efficacy while preventing regressions
- Partner with product and engineering stakeholders to deliver roadmap milestones and launches
- Participate in on-call support for detection efficacy and real-time scoring systems
- Document technical work and communicate across distributed teams
What we're looking for
- Bachelor’s degree in computer science, machine learning, AI, information systems, or a related quantitative or engineering field
- At least 1 year building and operating applied ML features in production
- Experience with end-to-end ML systems, including data wrangling, feature engineering, model training, evaluation, deployment, and monitoring
- Ability to implement and reason about algorithms, develop features, and combine signals
- Experience analyzing production data and launching experiments to improve model performance
- Understanding of online and offline pipelines, data tables, and labeling workflows
- Experience with metrics, A/B testing, drift monitoring, guardrails, and rollback strategies
- Strong written and asynchronous communication skills; able to work independently with distributed teams
Nice to have
- Experience with Python, Go, AWS, Spark, or Databricks
- Email security, DLP, or misdirected email prevention experience
- Experience writing rules or detectors to complement ML models
- Experience operationalizing research into scalable, reliable customer-facing systems
- Experience delivering a feature or component from scratch on a small team