Abnormal Security

Machine Learning Engineer II

Abnormal Security

Apply
22 days ago
Remote, United States
Mid Level / Senior
H1B Sponsor

Base Salary

$168k - $198k/yr

Responsibilities

  • Design and implement systems for email detection products with senior engineer guidance.
  • Understand features that distinguish safe emails from attacks.
  • Identify and recommend new feature groups or ML model approaches.
  • Write code with testability, readability, and error handling in mind.
  • Train models on well-defined datasets to improve efficacy.
  • Monitor and improve false negative and efficacy rates for detection categories.
  • Analyze datasets to categorize capability gaps and recommend improvements.
  • Contribute to building and debugging data pipelines.

Requirements

  • 3+ years of experience in machine learning applications in text understanding, NLP, or related fields.
  • 1+ years of experience with production-level pipelines for model training and evaluation.
  • Experience with SQL, pandas, and spark for data analytics.
  • Ability to understand business requirements and design generalizable ML models.
  • Systematic approach to debugging data and system issues.
  • Fluency in Python and machine learning toolkits like numpy, sklearn, pytorch, and tensorflow.
  • Effective software engineering skills with structured and efficient code writing.
  • BS degree in Computer Science, Applied Sciences, or related field.

Tech Stack

Apache SparkNumPyPandasPythonPyTorchscikit-learnSQLTensorFlow

Categories

AI & MLData Science