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Abnormal Security

Abnormally-Precise, Cloud-Native Email Security

Machine Learning Engineer II – Behavioral Security Products

Security EngineerSecurity EngineerFull TimeRemoteSeniorTeam 501-1,000H1B SponsorCompany SiteLinkedIn

Location

United Kingdom

Posted

74 days ago

Salary

0

Seniority

Senior

Job Description

Machine Learning Engineer II – Behavioral Security Products

Abnormal Security

• Contribute to the development of machine learning algorithms and models for behavioral modeling and cybersecurity attack detection. • Work with cross-functional teams to understand requirements and translate them into effective machine learning solutions. • Conduct exploratory data analysis, feature engineering, model development and evaluation. • Work with infrastructure & product engineers to productionize models and new ML-based features • Monitor and improve production models through feature engineering, rules, and ML modeling as part of a team effort. • Participate in code reviews to ensure the quality and maintainability of ML systems. • Stay updated on the latest research in the field of machine learning, data science, and AI. • Adopt and contribute to the development of machine learning best practices within the organization.

Job Requirements

  • Proven experience as a Machine Learning Engineer or similar role in a commercial environment (3+ years).
  • Knowledge of machine learning algorithms, statistics, and predictive modeling.
  • Proficiency with Python and machine learning toolkits like pandas, scikit-learn, and optionally. pytorch/tensorflow.
  • Awareness of machine learning operations (MLOps) and productionization of ML models best practice.
  • Familiarity with building data and metric generation pipelines, using tools like SQL or Spark, to answer business questions and assess system efficacy.
  • Ability to communicate technical ideas in a clear, non-technical manner.
  • Familiarity with LLMs
  • Previous experience in Cybersecurity
  • Previous experience with Airflow or similar ML pipeline orchestration tools
  • Experience with large scale ML system and data infrastructure
  • Previous experience in behavioural modeling techniques
  • PhD or equivalent proven experience in ML research
  • Familiarity with cloud computing platforms (AWS, Azure)

Benefits

  • Abnormal AI is an equal opportunity employer
  • Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status or other characteristics protected by law.

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