Machine Learning Engineer, AI Recommendation and Search

Comcast • Philadelphia, PA

2d

About The Position

Comcast brings together the best in media and technology. We drive innovation to create the world's best entertainment and online experiences. As a Fortune 50 leader, we set the pace in a variety of innovative and fascinating businesses and create career opportunities across a wide range of locations and disciplines. We are at the forefront of change and move at an amazing pace, thanks to our remarkable people, who bring cutting-edge products and services to life for millions of customers every day. If you share in our passion for teamwork, our vision to revolutionize industries and our goal to lead the future in media and technology, we want you to fast-forward your career at Comcast. The AI Search and Recommendation team is seeking a highly skilled Engineer Machine Learning to design, develop, and deploy ML models and services that power next-generation products and platforms across Comcast, Sky, and NBCUniversal. This role combines strong coding ability, applied ML expertise, and system design skills to deliver reliable, scalable solutions. You will work closely with senior engineers and product teams to break down complex problems, implement robust architectures, and ensure high-quality delivery.

Requirements

• Bachelor’s Degree in Computer Science, Electrical Engineering, or related field.
• 5-7 years building platform engineering initiatives in technology-driven organizations
• Proven experience in AI/ML, Cloud Computing, knowledge of distributed systems and MLOps (feature stores, model registries, pipelines, monitoring for data/concept drift).
• Strong coding proficiency in Python; excellence in code quality, testing, performance, and reliability.
• 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.
• Respect and promote inclusion & diversity.
• Do what's right for each other, our customers, investors and our communities.

Responsibilities

• Build and optimize ML models and pipelines for production use cases.
• Participate in system design for scalable ML services; ensure reliability, performance, and cost-efficiency.
• Write clean, efficient, and well-tested code in Python; actively engage in code reviews.
• Implement end-to-end ML workflows including data ingestion, feature engineering, training, evaluation, and deployment.
• Work with product and engineering teams to break down complex projects into smaller deliverables; assist with effort estimation and sequencing.
• Ensure robust testing, monitoring, and performance tuning for ML systems; implement observability-first practices.
• Stay current with emerging ML techniques and tools; evaluate and integrate new technologies where appropriate.
• Maintain clear documentation of designs, workflows, and best practices; contribute to internal knowledge bases.
• Provide guidance to junior engineers and interns on ML development practices and coding standards.

Benefits

• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level