Senior AI/ML Security Engineer

At CableLabs we wake up every day to invent the future. CableLabs is a global, award-winning innovation and R&D lab dedicated to keeping people connected by building and orchestrating emergent technology and igniting co-innovation today for the broadband of tomorrow.

The Senior AI/ML Security Engineer position resides in the Security and Privacy Technologies department at CableLabs. The CableLabs Security and Privacy Technologies team drives innovation toward a unified threat-resistant networking environment for both wired and mobile experiences. We research, develop, publish, improve, and influence tools and standards to advance security and privacy. We develop new controls to keep our industry ahead of threats and adversaries on the network. We develop communities that evangelize and foster collaboration, dissemination of knowledge, best practices, and training. In doing so, this team is critical in all CableLabs projects, but more than that, we are foundational to the projects and technologies in an entire industry – when people ask you what you do at work, you can tell them that you keep them safe online.

Why This Role Is Exciting:

As the Senior AI/ML Security Engineer, you’ll play a vital role in safeguarding the security and privacy of AI models and systems throughout their lifecycle. You’ll leverage your expertise in security best practices and AI research to proactively identify and mitigate risks like adversarial attacks, bias, and data poisoning. This involves securing both the models themselves and the systems they run on, while also championing the integration of privacy-enhancing techniques to ensure responsible data handling. This role provides an opportunity to contribute to the development of AI security solutions that will impact the future of online safety. You’ll work on innovative projects that protect online experiences for millions, collaborating with a team of experts and influencing industry standards through participation in relevant organizations. It’s a chance to make a meaningful contribution to the field of AI security and online privacy.

What You’ll Do:

• Develop approaches and methodologies for analyzing security, privacy and robustness of AI systems.
• Understand vulnerabilities in AI systems and how attackers adapt their tradecraft to exploit those vulnerabilities.
• Work to identify emerging and complex threats to AI systems, and effectively participate in the broader security community to address these threats.
• Develop approaches to identify and combat AI enhanced fraud.
• Evaluate the effectiveness of tools, techniques and processes developed by industry and the AI security research community.
• Develop and influence current best practice in AI security.
• Develop models, tools and data sets that can be used to characterize the threats to, and vulnerabilities in, AI systems.
• Identify opportunities to apply AI to improve existing cybersecurity research.

Qualifications:

What Is a Must Have:

• Bachelor of Science in computer science, data science, machine learning, cybersecurity, statistics, or related discipline with 1-3 years engineer experience
• Experience with machine learning and AI concepts including deep neural networks and large language models.
• Excellent programming skills, preferably in languages such as Python or C++.
• Familiarity with various machine learning libraries such as sci-kit learn, PyTorch, Pandas, and NumPy.
• Familiarity with implementing and applying AI/ML techniques to solving practical problems.
• Experience developing frameworks, methodologies, or assessments to evaluate effectiveness and robustness of technologies, and sharing this knowledge within the broader community.

What Will Set You Apart:

• 3+ years engineer experience with a Bachelor of Science (or higher) degree in computer/software/cybersecurity/privacy
• Standards body experience, particularly leadership roles in larger SDOs
• AI/ML related publications and research
• Security certifications such as CISSP (Certified Information Systems Security Professional) and CASP (CompTIA Advanced Security Practitioner)

At CableLabs You’ll Enjoy Comprehensive Compensation And Benefits:

Compensation: The salary range is $113,375 – $138,625. This position is eligible for bonus incentive compensation up to 20% of base salary.

Health Benefits: Comprehensive healthcare coverage including medical, dental, vision insurance. Access to flexible spending and health savings accounts with employer HSA contribution.

Retirement Benefits: Competitive 401(k) retirement plan with an employer match up to 6%plus an ADDITIONAL 8% contribution to 401(k) which becomes fully vested after only two years of employment.

Work-Life Balance: Flexible work arrangements, Unlimited PTO, 11 paid holidays, 100% paid family and medical leave.