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Machine Learning Engineer

Machine Learning Engineer

Join IRONSCALES’ global team driving innovation around the world. You'll work with the best and the brightest to build your career at one of the world's email cybertechnology leaders.


  • Explore data to discover useful features and anomalies for detecting phishing.
  • Train machine learning models to classify phishing emails.
  • Validate models using common metrics such as precision, recall and others.
  • Deploy models in a complex distributed system.
  • Monitor ML models in production.


  • At least 4 years of experience as a ML engineer.
  • Training and deploying ml models in production environment.
  • Experience with natural language processing - advantage.
  • Experience with Linux environment and cloud environment - AWS an advantage.
  • Good communication skills and dynamic team player.
  • Team player
  • Experience in start-up – big advantage


  • Python - must.
  • Proficiency in at least 1 ML library such as sklearn or tensorflow - must.
  • NoSQL DB knowledge - Cassandra advantage.
  • SQL DB knowledge - PostgreSQL advantage.
  • Cloud Computing - AWS advantage.


Whatever you are, be a good one. Be positive. Be fast, don’t hurry. Challenge each other. Recognize the importance of team and never give up.

These are the core values that make us elite in more ways than one. We live by our core values; they’re not just tucked away on our website. We may be a team of hungry phishing disruptors, but we know the importance of taking pride in our people and developing a fantastic culture.

Based in Atlanta, with additional offices in London and Tel Aviv, we are experiencing an enormous amount of growth, and we need “A” players to join our team at IRONSCALES. In the last two years, we have had the honor of winning over ten awards from recognized industry experts and analysts, including most recently Cyber Defense Magazine’s Global Award for Best Anti-Phishing Security Solution.

IRONSCALES is proud to be an Equal Opportunity Employer and provides equal employment opportunities to all employees and applicants without regard to race, color, religion, sex, age, national origin, disability, veteran status, pregnancy, sexual orientation, or any other characteristic protected by law.