Comcast Cybersecurity: Security R&D Engineer

Make your mark at Comcast -- a Fortune 30 global media and technology company. From the connectivity and platforms we provide, to the content and experiences we create, we reach hundreds of millions of customers, viewers, and guests worldwide. Become part of our award-winning technology team that turns big ideas into cutting-edge products, platforms, and solutions that our customers love. We create space to innovate, and we recognize, reward, and invest in your ideas, while ensuring you can proudly bring your authentic self to the workplace. Join us. You’ll do the best work of your career right here at Comcast. (In most cases, Comcast prefers to have employees on-site collaborating unless the team has been designated as virtual due to the nature of their work. If a position is listed with both office locations and virtual offerings, Comcast may be willing to consider candidates who live greater than 100 miles from the office for the remote option.)

Job Summary

We are looking for passionate, and talented cybersecurity researchers who have genuine excitement for and interest in cybersecurity. As a Security Research Engineer, you’ll be engaging as a programmatic and subject matter expert to advance Comcast’s cybersecurity posture through conducting research and development. You will conduct research on established as well as emerging cybersecurity technologies and identify how they can be incorporated into the Comcast technology stacks. You will collaborate across a variety of stakeholders, including product owners, legal, business leaders, and security experts and engage in a variety of research areas.
In addition to core cybersecurity responsibilities, you will leverage AI-driven techniques and data analysis to enhance threat detection, anomaly identification, and predictive security models. This includes applying machine learning algorithms, statistical analysis, and data visualization to uncover patterns in large-scale security datasets and improve decision-making.

Job Description

Core Responsibilities  

• Lead innovative cybersecurity initiatives by developing advanced proofs of concept that elevate state‑of‑the‑art threat detection and protection.
• Integrate open‑source security solutions into existing systems to enhance overall security capabilities.
• Guide the successful delivery of high‑impact, revenue‑critical programs and provide technical leadership within key research domains.
• Define technical requirements for applications and platforms, ensuring clear alignment with product and organizational needs.
• Lead the design and implementation of applications and platforms, partnering closely with product teams and other stakeholders throughout development.
• Develop specifications, algorithms, and frameworks that shape future products and custom security solutions.

Soft Skills

• Excellent communication and collaboration skills.
• Strong analytical and problem-solving abilities.
• Innovative mindset and adaptability to evolving technologies.

Preferred Qualifications

• PhD in Cybersecurity, Privacy, Machine Learning Security, or Data Science.
• Experience in one of the following languages: Python, JavaScript, C, and Java.
• Experience in large‑scale data analysis and generating threat intelligence using advanced analytics and machine learning techniques.
• Experience in building AI models and designing LLM‑based solutions, including architecture design, performance evaluation, and production deployment.
• Knowledge of one of the following Cloud services: AWS, Azure, Google, or other cloud platforms.
• An established publication record or record of public speaking on cybersecurity topics.
• Strong experience with on (or more) of the following areas:
  • Application security: Static & dynamic analysis
  • Network defense: Intrusion detection
  • Security Architecture: Data protection, Secure application development, Cryptography
  • Risk assessment: Source code scan, Data-centric risk assessment
  • Machine learning applications in security
  • Privacy engineering: Data privacy, Privacy by design, Machine learning (Privacy enhancing machine learning)

Minimum Qualifications:

• MS in Cybersecurity, Privacy, Machine Learning Security, or Data Science.
• 2+ years of industry experience for MS, 1 year of postdoctoral or industry experience for PhD.
• Experience building proof of concepts. (Note: You do not need to be a software developer. But you should be able to code.)
• Knowledge of emerging cybersecurity technologies, threats, mitigations, and security industry trends.
• Knowledge of networking protocol