Job Summary
As a Machine Learning Engineer 2 (GenAI), you will build and maintain GenAI-powered applications that enable creative teams to produce brand-compliant media content at scale. You will work closely with senior engineers to implement features, integrate AI models, and ensure production reliability. This role focuses on hands-on development -- turning architectural designs into working software that delivers real value to creative professionals.
Job Description
Core Responsibilities
- Develop and maintain full-stack GenAI applications for media content creation (image, video, audio, text)
- Build and integrate REST APIs and backend services using Python/FastAPI
- Integrate generative AI models and services (LLMs, image generation, video generation) into production applications
- Support frontend development using modern JavaScript/TypeScript frameworks
- Implement data pipelines between creative and marketing systems to enable agentic workflows
- Build and maintain MCP (Model Context Protocol) servers and AI agent integrations
- Support deployment and operations of containerized applications on cloud platforms
- Troubleshoot and resolve production issues, fix bugs, and improve application performance
- Write and maintain technical documentation and API specifications
- Participate in code reviews and collaborate with senior engineers on implementation approaches
- Provide technical support for AI tools used by creative teams
- Collaborate with US-based teams on requirements and implementation strategies
Required Qualifications
- 1-3 years of experience in software engineering, ML engineering, or AI application development
- Bachelor's degree in computer science, Software Engineering, or related field (or equivalent experience)
- Strong Python programming skills -- backend development, scripting, API integration
- JavaScript/TypeScript (working level)
- Full-stack engineering fundamentals
- Understanding of REST APIs, authentication protocols, and request/response patterns
- Database knowledge (NoSQL or SQL)
- Knowledge of current AI technologies -- LLMs, AI Agents, MCP servers & tools
- Understanding of prompt engineering and generative AI model APIs
- Good communication skills and ability to work with remote teams across time zones
- Self-driven with the ability to execute independently once given clear direction
Preferred Qualifications
- Experience with modern frontend frameworks (React preferred)
- Containerization concepts (Docker, deployment)
- Cloud platform experience (GCP preferred)
- Interest in creative technology and marketing technology
- Experience working with US-based teams in agile environments
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.
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.
Base pay is one part of the Total Rewards that Comcast provides to compensate and recognize employees for their work. Most sales positions are eligible for a Commission under the terms of an applicable plan, while most non-sales positions are eligible for a Bonus. Additionally, Comcast provides best-in-class Benefits to eligible employees. 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 compensation and benefits summary on our careers site for more details.
Education
Bachelor's Degree
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.
Relevant Work Experience
2-5 Years
Skills Required
- 1-3 years of experience in software engineering, ML engineering, or AI application development
- Bachelor's degree in Computer Science, Software Engineering, or related field (or equivalent experience)
- Strong Python programming skills (backend development, scripting, API integration)
- JavaScript/TypeScript (working level)
- Full-stack engineering fundamentals
- Understanding of REST APIs, authentication protocols, and request/response patterns
- Database knowledge (NoSQL or SQL)
- Knowledge of current AI technologies, including LLMs, AI Agents, and MCP servers/tools
- Understanding of prompt engineering and generative AI model APIs
- Good communication skills and ability to work with remote teams across time zones
- Self-driven with ability to execute independently once given clear direction
- Experience with modern frontend frameworks (React)
- Containerization concepts (Docker, deployment)
- Cloud platform experience (GCP)
- Interest in creative technology and marketing technology
- Experience working with US-based teams in agile environments
Comcast Compensation & Benefits Highlights
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Healthcare Strength — Company-sponsored medical, dental, and vision coverage is paired with 24/7 virtual care and confidential counseling, with additional wellness tools like the Calm app. This breadth points to a robust core health offering.
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Retirement Support — A 401(k) with a company match is highlighted as generous, complemented by tuition reimbursement and access to financial coaching. Together these programs strengthen long-term financial security.
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Parental & Family Support — Paid parental leave for primary and non-primary caregivers, plus fertility/family-forming coverage and adoption/surrogacy reimbursements, indicate strong support for families. Additional caregiving resources and return-to-work programs further bolster this area.
Comcast Insights
What We Do
Welcome to Comcast. From the connectivity and platforms we provide to the content and experiences we create, we bring people together, globally. Our people think the world of our work, and that’s why our work is the best in the world.
Why Work With Us
We believe you can achieve extraordinary things when you feel connected - to the work you do and who you do it with. From the platforms we provide to millions of people, to the content and experiences we create - we bring our customers, viewers and teammates closer together across the globe.
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Comcast Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.

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