Senior Machine Learning Engineer

SecurityScorecard

1 month ago

3.3 on Glassdoor

Latin America

Onsite

Full Time

Senior

0 applicants

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About this role

A Senior ML Engineer at SecurityScorecard develops and deploys AI agents and ML models to enhance cybersecurity resilience. The role focuses on creating scalable solutions for risk assessment and improving security through advanced technologies.

Skills

Qualifications

Bachelor’s degree in Computer Science, Engineering, Mathematics, Physics, or a related field4+ years of experience in ML Engineering, Data Science, or related disciplineExperience with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes)Proficiency in data manipulation, cleaning, and analysis using tools such as Polars, Pandas, NumPy, or SQLSolid understanding of supervised and unsupervised learning techniques, statistical analysis, hypothesis testing, and predictive modeling

About SecurityScorecard

securityscorecard.com

SecurityScorecard is a cybersecurity company that provides global security ratings and continuous risk monitoring for millions of organizations to help enterprises assess and manage cyber and third‑party risk. Its platform delivers objective security scores, threat intelligence, and remediation guidance so TPRM and SOC teams can detect, prioritize, and remediate vendor and supply‑chain risk at scale. Using patented external‑telemetry and data aggregation, SecurityScorecard generates alerts, risk insights, and integrations that fit into existing workflows and compliance programs. Large enterprises use the service for vendor risk management, insurance underwriting, M&A diligence, and regulatory compliance.