ML Engineer I - Misdirected Email Security

United States Digital Space LLC; United States; Remote; USD 90,000 - 130,000; Full time

Job summary

Abnormal AI is seeking a Machine Learning Engineer - I to join the Misdirected Email Detection team. This highly applied role focuses on building, iterating, and deploying end-to-end ML solutions for real-world protection at scale.

You will own data wrangling, feature engineering, model training, deployment, monitoring, and experimentation, collaborating with product managers and engineers to translate customer needs into measurable improvements.

Qualifications

• BS degree in Computer Science or related field.
• 1+ years building and operating applied ML features in production.
• Experience contributing to end-to-end ML systems: data wrangling, feature engineering, training, deployment with monitoring.
• Ability to implement algorithms, develop features, average and combine signals.
• Interrogate production data to identify trends and run targeted experiments to improve model efficacy.
• Experience with online vs offline pipelines and labeling workflows for scalable deployments.
• Experience running offline metrics, online A/B tests, thresholds, monitoring drift and performance.

Responsibilities

• Partner with Product Manager, Tech Lead and engineering stakeholders to align technical deliverables to roadmap milestones and ensure successful GA launches across supported environments.
• Own the full ML lifecycle for Misdirected Email, including data wrangling, feature engineering, model training and evaluation, deployment, and monitoring. Deliver iterative improvements with measurable reliability and customer impact.
• Run rigorous experiments and evaluations (offline metrics, online A/B testing, post-launch monitoring), set thresholds, and conduct targeted error analysis to prevent regressions.
• Communicate effectively across time zones, maintain high-quality technical documentation, and contribute to shared team knowledge.
• Participate in shared on-call rotation for owned components, with responsibilities focused on detection efficacy and realtime scoring systems.

Skills

Machine Learning

Data wrangling

Feature engineering

Experimentation

End-to-end ML

Communication

Education

BS in Computer Science or related field

Tools

Python

Go

AWS

Spark

Databricks

Job description

Abnormal AI is seeking a Machine Learning Engineer - I to join the Misdirected Email Detection team. This highly applied role focuses on building, iterating, and deploying end-to-end ML solutions for real-world protection at scale.

You will own data wrangling, feature engineering, model training, deployment, monitoring, and experimentation, collaborating with product managers and engineers to translate customer needs into measurable improvements.