Principal Cybersecurity Engineer ( AI/ML Open Source Security )

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As a Principal Cybersecurity Engineer, you will have deep understanding of AI ML Security Risks, possess a strong background in application security engineering, and be eager to take on challenges related to AI-driven cybersecurity threats. We are looking for individuals who are adept in both traditional security approaches and the unique challenges posed by AI and ML technologies. This role will be a key role in application security engineering team, responsible for engineering support, development and delivery of AI/ML open source security initiatives, projects, or programs that have objectives associated with incorporating AI safety controls, designing and implementing processes to understand, measure, and improve the organization’s ability to protect open source AI/ML models, implement AI safety controls for responsible use of LLM (Large Language Model) applications.

Key Responsibilities:

• Develop and implement capabilities (process and tooling) to identify security risks in open source AI ML model evaluations, employing advanced ML and AI techniques.
• Build and maintain scalable systems and processes to support open source AI safety evaluations and threat mitigation strategies.
• Implement end-to-end LLM security risk management processes and automated protections.
• Evaluate and assess open-source AI security libraries to build into enterprise AI open source security evaluation.
• Provide engineering design and support in developing requirements for AI ML CI/CD pipeline
• Deliver and integrate AI robustness, vulnerability, and stress testing capabilities with MLOps ecosystems.
• Evaluate and assess open-source AI security libraries to build into enterprise AI stress testing and audit capabilities.
• Establish and govern AI/ML and Generative AI application security standards.

Collaborating with multi-functional teams, including researchers, ML engineers, and security experts, to develop and implement best-in-class security solutions for AI systems.

Minimum Qualifications:

At a minimum, here’s what we need from you:

• Bachelors – Computer Science, Engineering, Informatics, Information Security, Information Technology or related
• 6+ years – Information Security, Application Security, Security Engineering or related

Internal applicants only: technical proficiency rating of proficient on the Dreyfus engineering scale

Bonus Points If You Have:

• Strong knowledge of AI Risk Management frameworks and Trustworthy AI practices.
• Hands-on experience with applying statistics, machine learning algorithms (DNN, NLP), big data, and data science toolkits. Hands-on experience designing, implementing, and operationalizing high performant AI/ML pipelines and writing production code.
• Hands-on experience with deploying and operationalizing AI/ML models to public cloud environments.
• Hands-on experience evaluating open-source ML tools, frameworks, and libraries.
• Hands-on experience with commonly used data science programming languages, packages, and tools.
• Hands-on experience with MLOps, DevOps, DataOps and API integrations.
• Hands-on experience with AI/ML technologies, including proficiency in Python, Rust, Go, and ML frameworks like TensorFlow, PyTorch, Keras.
• Demonstrated experience in red-team and penetration testing engagements.
• Excellent communication skills, with the ability to articulate complex technical findings to diverse teams.

External applicants will be required to perform a technical interview.

What are you waiting for? Apply today!

And by the way, while you’re waiting to hear from us, don’t forget to check out the great benefits Discover offers.

All Discover employees place our customers at the very center of our work. To deliver on our promises to our customers, each of us contribute every day to a culture that values compliance and risk management.

The same way we treat our employees is how we treat all applicants – with respect. Discover Financial Services is an equal opportunity employer (EEO is the law). We thrive on diversity & inclusion. You will be treated fairly throughout our recruiting process and without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status or any other characteristic protected by federal, state, or local law in consideration for a career at Discover.