Software Engineer, AI Product Security

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About this kind of role

What a Software Engineer, AI Product Security usually does. The employer's own details are in the listing.

Typically does: Software Engineers specializing in AI Product Security focus on protecting machine learning models and related infrastructure from vulnerabilities and attacks. They identify and mitigate risks associated with data poisoning, model theft, and adversarial attacks. This role involves integrating security best practices into the AI development lifecycle, from data collection to model deployment. They collaborate with AI researchers, data scientists, and other engineers to ensure the secure design and implementation of AI products.

Tools and skills: Proficiency in programming languages like Python, experience with machine learning frameworks (TensorFlow, PyTorch), and familiarity with security tools and techniques such as vulnerability scanning, penetration testing, and cryptography are typically required.

Good fit for: Individuals with a strong foundation in software engineering and a keen interest in the intersection of artificial intelligence and cybersecurity often thrive in this role.