Machine Learning Engineer II – Behavioral Security Products

About This Opportunity

Our talent team is representing a confidential cybersecurity organization seeking a Machine Learning Engineer II to join their behavioral security products division. This remote role focuses on building advanced detection systems that protect against account takeover attempts and evolving security threats.

In this position, you will work on machine learning models that detect malicious activity patterns, contributing to systems that safeguard user accounts with high accuracy. You'll collaborate with cross-functional teams to design, develop, and maintain production ML systems while staying ahead of constantly evolving threat landscapes.

Responsibilities

• 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 and 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

What We're Looking For

Required Qualifications:

• 3+ years of proven experience as a Machine Learning Engineer or similar role in a commercial environment
• 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 practices
• 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

Preferred Qualifications:

• 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)

How We Work With You

Candidates apply through Get A Job.ai, where our recruiting team will review your qualifications. After an initial screening conversation with us, we will submit qualified candidates to our client for consideration. Please do not attempt to contact the client directly, as all applications must be processed through our team to be considered.

Pay

Compensation details will be discussed during the screening process based on experience and qualifications.

Equal Employment Opportunity: Get A Job.ai is committed to creating a diverse and inclusive workplace. We are an equal opportunity employer and welcome applications from all qualified candidates regardless of race, color, religion, sex, national origin, age, disability, veteran status, or any other protected characteristic under applicable law.