Staff Machine Learning Engineer - Remote

Overview

This position is posted by Jobgether on behalf of Abnormal Security. We are currently looking for a Staff Machine Learning Engineer in United States.

Join a high-impact team driving advanced machine learning systems to protect organizations from evolving security threats. In this role, you'll architect large-scale detection models that power real-time message analysis, shaping the strategic ML direction of a world-class cybersecurity platform. Working at the intersection of deep learning, behavioral analysis, and system design, you’ll lead initiatives that directly defend thousands of global enterprises. This is a unique opportunity to influence foundational AI infrastructure and collaborate with top engineers across the stack.

In Short

• Act as a technical leader and domain expert across multiple ML workstreams.
• Architect scalable, generalizable ML systems that address critical detection gaps.
• Lead strategic initiatives, including global model training infrastructure.
• Own the full ML lifecycle: data analysis, prototyping, training, production deployment, and performance monitoring.
• Troubleshoot complex model behaviors using a deep understanding of theoretical and applied machine learning principles.
• Design automated retraining and evaluation pipelines to adapt to evolving threats.
• Collaborate with cross-functional stakeholders to ensure ML solutions are aligned with real-world threats.

Requirements

• Experience in machine learning and deep learning.
• Strong programming skills in relevant languages.
• Understanding of data analysis techniques.
• Experience in cybersecurity applications is a plus.
• Ability to work collaboratively in a team environment.

Benefits

• Opportunity to work in a high-impact team.
• Influence foundational AI infrastructure.
• Collaborate with top engineers across the stack.
• Work remotely from the United States.