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Machine Learning Engineer II - Behavioral Security Products
Machine learningWorkplace — unknown
Published on 2026-09-16
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
Abnormal AI is seeking a Machine Learning Engineer for the Account Takeover Detection team to develop machine learning models for cybersecurity. The role involves building systems for proactive detection of account takeover attempts and ensuring operational excellence.
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
Account Takeover Detection team
Stack
Pythonpandasscikit-learnpytorchtensorflowSQLSpark
What you'll do
- Develop machine learning algorithms for attack detection
- Translate requirements into effective ML solutions
- Conduct exploratory data analysis and feature engineering
- Productionize models and new ML-based features
- Monitor and enhance production models
- Participate in code reviews for ML systems
- Stay updated on machine learning research
- Contribute to ML best practices
What we're looking for
- 3+ years of experience as a Machine Learning Engineer
- Knowledge of machine learning algorithms and predictive modeling
- Proficient in Python and machine learning toolkits
- Awareness of MLOps and productionization of models
- Familiarity with data pipelines using SQL or Spark
- Ability to communicate technical ideas clearly
Nice to have
- Familiarity with LLMs
- Experience in Cybersecurity
- Experience with Airflow or similar tools
- Experience with large scale ML systems
- Experience in behavioral modeling techniques
- PhD or equivalent experience in ML research
- Familiarity with cloud computing platforms