Machine Learning Engineer II – Behavioral Security Products

Role Overview

• 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.

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)

Tech Stack

• Airflow
• AWS
• Azure
• Cloud
• Cyber Security
• Pandas
• Python
• PyTorch
• Scikit-Learn
• Spark
• SQL
• Tensorflow

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.