hackajob · 5 days ago
Comcast Cybersecurity: AI Development Research Engineer
Philadelphia, PA
Full-time
Onsite
New Grad, Entry Level
$90K/yr - $130K/yr
0+ years exphackajob is collaborating with Comcast, a Fortune 30 global media and technology company. 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, collaborating with various teams to create cybersecurity tools and products.
Artificial Intelligence (AI)Generative AIHuman ResourcesRecruitingSoftware
No H1B
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
Qualification
Required
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
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
Benefits
Best-in-class Benefits
An array of options, expert guidance and always-on tools
Company
hackajob
The AI-native tech hiring platform trusted by enterprises, scale-ups, and 1M+ tech professionals worldwide.
51-200 employees
Funding
Current Stage
Growth StageTotal Funding
$33MKey Investors
Volition CapitalDowning VenturesTechstars
2023-05-03Series B· $25M
2018-10-25Series A· $6.7M
2017-03-31Seed· $0.58M
Leadership Team
Mark Chaffey
CEO
Phil Kell
VP - Marketplace
Recent News
2025-10-23
2025-09-26
2025-09-12
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