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Job Summary

Responsible for contributing to the development and deployment of machine learning algorithms. Evaluates accuracy and functionality of machine learning algorithms as a part of a larger team. Contributes to translating application requirements into machine learning problem statements. Analyzes and evaluates solutions both internally generated as well as third party supplied. Contributes to developing ways to use machine learning to solve problems and discover new products, working on a portion of the problem and collaborating with more senior researchers as needed. Works with moderate guidance in own area of knowledge.

Job Description

Position Summary

We are looking for a talented Software Engineer to join our Personalization Platform team. In this role, you will lead the design and development of new features for our personalization services, working closely with senior engineers and cross-functional teams. You will help build scalable and reliable backend systems that support API and batch data processing and contribute to MLOps workflows and machine learning model integration.

Key Responsibilities

• Design, develop, test, and deploy new features for the content discovery personalization service.
• Collaborate with senior engineers to ensure high-quality, maintainable, and secure code.
• Participate in the maintenance and operational support of backend services.
• Contribute to the automation of CI/CD pipelines and operational tasks.
• Assist in monitoring, troubleshooting, and resolving production issues.
• Help maintain observability, reliability, and performance of backend systems.
• Participate in security upgrades and regular maintenance activities.
• Gain exposure to MLOps practices, including supporting the deployment and monitoring of ML models in production.

Tech Stack: Machine Learning Dev

Programming Languages

• Python (Primary)
• Shell scripting (for automation and ops)

Frameworks & Libraries

• Flask / FastAPI (or other Python web frameworks)
• Pandas / NumPy (for batch processing or data handling)

DevOps & CI/CD

• Jenkins or Concourse CI
• GitLab CI / GitHub Actions (if applicable)
• Docker
• K8s - Helm (Kubernetes package manager)

Cloud & Infrastructure

• Kubernetes (EKS/GKE/AKS)
• AWS / GCP (Any cloud platform experience)
• HashiCorp Vault (Secret Mgmt)
• Terraform (IAC)

Monitoring & Observability

• Prometheus, Grafana
• ELK Stack
• Sentry / Datadog (optional)

MLOps

• MLflow / SageMaker / Vertex AI (Basic)

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