Senior Application Security Engineer, AI and Machine Learning

About this kind of role

What a Senior Application Security Engineer, AI and Machine Learning usually does. The employer's own details are in the listing.

Typically does: This role focuses on identifying and mitigating security vulnerabilities within artificial intelligence and machine learning applications. Responsibilities include conducting security reviews of AI/ML models and infrastructure, developing secure coding practices, and responding to security incidents related to AI systems. They also work to integrate security into the entire AI/ML development lifecycle, from data collection to model deployment. A key aspect is staying current with emerging threats and vulnerabilities specific to AI and machine learning technologies.

Tools and skills: Proficiency in security tools like static and dynamic analysis tools, vulnerability scanners, and intrusion detection systems, alongside expertise in programming languages (Python, Java), cloud platforms (AWS, Azure, GCP), and machine learning frameworks (TensorFlow, PyTorch) is generally expected.

Good fit for: Individuals with a strong background in both application security and machine learning principles, and a passion for proactively addressing security challenges in innovative technologies, often thrive in this position.