We are seeking an Applied ML Research Scientist to join the CrowdStrike Malware Research Center (MRC), the core of Falcon’s malware detection and response capabilities.
The MRC drives threat landscape analysis, evaluates our machine learning and behavioral protection systems, and closes detection gaps to ensure cutting-edge security.
In this role, you will build, evaluate, and deploy machine learning models to detect and analyze malware, combining deep cybersecurity understanding with advanced ML techniques to combat evolving threats.

Roles and Responsibilities

Build and optimize machine learning models for malware detection with high accuracy and precision.
Develop automation tools and testing frameworks for validating ML models.
Create automated pipelines for large-scale malware sample processing.
Conduct exploratory data analysis (EDA) on threat datasets and behavioral data to identify patterns.
Perform feature engineering on malware static and behavioral analysis data.
Collaborate with threat researchers and engineers to develop and deploy effective ML solutions.
Conduct model evaluations across diverse and evolving threat scenarios.

Required Qualification

Bachelor’s or Master’s degree in Data Science or Computer Science.
5+ years of combined experience in Data Science and MLOps.
Proficiency in Python, scikit-learn, TensorFlow, and PyTorch.
Experience with data processing tools and visualization libraries.
Hands-on experience with large-scale data processing on cloud platforms (Azure, AWS, GCP).
Knowledge of distributed computing frameworks such as Ray or Apache Spark.
Experience with workflow orchestration (Airflow) and ML lifecycle management tools (MLflow).
Proficiency in SQL (PostgreSQL, MySQL) and NoSQL (MongoDB, Elasticsearch) databases.
Experience in model deployment, monitoring, version control, and CI/CD pipelines for machine learning projects.
Strong interpersonal and communication skills with the ability to collaborate effectively across teams.

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