Remote Senior ML Engineer, Email Threat Detection

abnormal.ai

United States

Remote

USD 160,700 - 231,000

Full time

14 days+

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Job summary

Abnormal AI is seeking a Machine Learning Engineer for the Message Detection - Attack Detection team. You will design and deploy systems that fuse rules, models, feature engineering, and business inputs to detect email threats at scale.

You will build high-recall detectors, train on labeled data, monitor FN/FP, and collaborate with infrastructure to productionize signals for our customers. This is a remote USA role with competitive compensation and equity opportunities.

Qualifications

  • 3+ years designing, building and deploying ML applications in NLP/text domains.
  • 1+ years of production ML pipelines for training and evaluation.
  • SQL + pandas + Spark for data and metrics pipelines.
  • Translate business requirements into scalable ML solutions.
  • Debug data and system issues in ML/heuristics models.
  • Fluent with Python and ML toolkits (NumPy, scikit-learn, PyTorch, TensorFlow).
  • BS degree in Computer Science, Applied Sciences, Information Systems or related field.

Responsibilities

  • Design and implement systems that combine rules, models, feature engineering, and business inputs into an email detection product with senior guidance.
  • Understand features distinguishing safe emails from attacks and how the model stack catches them.
  • Identify new feature groups or ML approaches to improve detection; productionize signals with infrastructure teams.
  • Write code with testability, readability, and edge cases in mind.
  • Train models on well-defined datasets to improve efficacy for advanced attacks.
  • Monitor FN/FP rates and improve overall detection through feature and rule updates.
  • Contribute to data pipelines and present results to customers when needed.

Skills

NLP experience
Python
SQL
Pandas
Spark
PyTorch
TensorFlow
Machine learning pipelines
Model deployment

Education

BS in Computer Science or related field
MS degree (nice to have)

Tools

scikit-learn
NumPy

Job description

Abnormal AI is seeking a Machine Learning Engineer for the Message Detection - Attack Detection team. You will design and deploy systems that fuse rules, models, feature engineering, and business inputs to detect email threats at scale.

You will build high-recall detectors, train on labeled data, monitor FN/FP, and collaborate with infrastructure to productionize signals for our customers. This is a remote USA role with competitive compensation and equity opportunities.

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