Tech Stack

Description

You will join the Account Takeover Detection team to build ML systems that detect malicious activity and protect customers from account takeovers. You'll define technical goals, maintain production models, and ensure operational excellence while leveraging cutting-edge machine learning technologies.

Requirements

• 3+ years 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 ML toolkits like pandas, scikit-learn, and optionally PyTorch/TensorFlow.
• Awareness of MLOps and productionization of ML models best practices.
• Familiarity with building data and metric generation pipelines using tools like SQL or Spark.
• Ability to communicate technical ideas in a clear, non-technical manner.

Responsibilities

• Contribute to 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 ML 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.
• Participate in code reviews to ensure quality and maintainability of ML systems.
• Stay updated on latest research in ML, data science, and AI.
• Adopt and contribute to development of ML best practices within the organization.