Comcast Cybersecurity: AI Development Research 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

The Comcast SPIDER team is seeking an Engineer II with a strong foundation in software development to help build AI-driven solutions and scalable data pipelines. You’ll collaborate with cybersecurity researchers, data engineers, software developers, and platform teams to turn business requirements into proof of concepts for cybersecurity tools and products. This role is perfect for early-career engineers who have completed internships or academic projects and are ready to contribute to real-world solutions.

Job Description

This position is ineligible for visa sponsorship.  To be considered for this role, you must be legally authorized to work in the United States and not require sponsorship for employment now or in the future.

Core Responsibilities

• Design & Build Data Pipelines: Develop batch and streaming pipelines for data ingestion, transformation, and quality validation using tools like Python, SQL, and/or cloud-native services.
• AI Application Development: Implement inference services, prompts/workflows, and retrieval pipelines (RAG) leveraging vector databases and embeddings.
• Data Engineering Fundamentals: Implement data models (dimensional/star schemas), optimize queries, and contribute to data lake/warehouse design.
• Performance Assessments: Perform functional testing for accuracy and implement iterative improvements.
• Documentation & Collaboration: Author technical specs, runbooks, and knowledge base articles; collaborate closely with cross-functional stakeholders.
• Security & Compliance: Follow secure coding practices and data governance policies. Implement security guardrails to enforce safe, read-only operations and prevent injection attacks. 
• Continuous Learning: Stay current on AI/ML and data engineering best practices; contribute to internal tooling, templates, and reusable components.
• Other duties and responsibilities as assigned.

Minimum Qualifications

• Bachelor’s degree in Computer Science, AI, Engineering, or related field; or equivalent practical experience.
• Proficiency in Python and SQL.
• Experience with data wrangling, ETL/ELT concepts, and working with relational and/or NoSQL databases.
• AI/ML Basics: Exposure to machine learning workflows (training, validation, inference) via coursework, projects, or internships; familiarity with libraries like NumPy, Pandas, SciPy, scikit-learn, PyTorch or TensorFlow.
• Familiarity with LLM frameworks (e.g., LangChain, LangGraph). 
• Internship/co-op or open-source contributions in data or AI.
• Strong problem-solving, communication, and teamwork skills.

Preferred Qualifications

• MS or PhD in CS, AI, Math, or related fields. 
• 2–3 years of experience building ML models and pipelines. 
• Experience with Databricks, or cloud data services (e.g., Azure Data Factory/Synapse, AWS Glue/Redshift).
• Experience with LLM workflows (prompt engineering, RAG, and vector databases).
• Familiarity with CI/CD (GitHub Actions) and Git.
• Familiarity with building agentic workflows. 
• Awareness of Cybersecurity principles. Knowing prompt engineering (LLM) security best practices (e.g., prompt injection) is a plus. 

Employees at all levels are expected to:

• Understand our Operating Principles; make them the guidelines for how you do your job.
• Own the customer experience - think and act in ways that put our customers first, give them seamless digital options at every touchpoint, and make them promoters of our products and services.
• Know your stuff - be enthusiastic learners, users and advocates of our game-changing technology, products and services, especially our digital tools and experiences.
• Win as a team - make big things happen by working together and being open to new ideas.
• Be an active part of the Net Promoter System - a way of working that brings more employee and customer feedback into the company - by joining huddles, making call backs and helping us elevate opportunities to do better for our customers.
• Drive results and growth.
• Support a culture of inclusion in how you work and lead.
• Do what's right for each other, our customers, investors and our communities.

Disclaimer:

• This information has been designed to indicate the general nature and level of work performed by employees in this role. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications.

Skills

Artificial Intelligence (AI), Data Engineering, Python (Programming Language)

We believe that benefits should connect you to the support you need when it matters most, and should help you care for those who matter most. That's why we provide an array of options, expert guidance and always-on tools that are personalized to meet the needs of your reality—to help support you physically, financially and emotionally through the big milestones and in your everyday life.

Please visit the benefits summary on our careers site for more details.

Education

Bachelor's Degree: Computer and Information Science (Required)

While possessing the stated degree is preferred, Comcast also may consider applicants who hold some combination of coursework and experience, or who have extensive related professional experience.

Certifications (if applicable)

Relevant Work Experience

2-5 Years

Comcast is an equal opportunity workplace. We will consider all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, veteran status, genetic information, or any other basis protected by applicable law.