Comcast
Media and Technology
Engineer3-MachineLearning
Neural analysis suggests this role is
optimal for Mid candidates.
“Engineer 3 - Machine Learning at Comcast. Skills: Machine Learning, Python, ML models, Data processing. Own ML lifecycle. Design ML models”
Industry & Context.
Solving real-world problems; Troubleshoot and resolve issues
What They're Looking For.
Must Have
Python skills, ML fundamentals, 5-7 Years Relevant Work Experience, Bachelor's Degree
Nice to Have
Deep learning, Generative AI technologies, Cloud platform certs
What You'll Do.
Develop time series models
Maintain time series models
Lead feature engineering
Monitor model performance
Communicate technical concepts
Mentor junior engineers
Contribute to ML standards
How You'll Work.
Team & Collaboration
Work with product team; Communicate results to stakeholders; Mentor junior data scientists; Mentor junior ML engineers
Communication Scope
Communicate technical concepts; Communicate trade-offs; Communicate results clearly
Full Job Description
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. **Job Summary** We are looking for a highly motivated, experienced Machine Learning Engineer to join our team. You will design, develop, and deploy machine learning models across diverse business use cases. This role provides hands‑on exposure to classical ML, deep learning, and emerging Generative AI technologies. The ideal candidate has strong Python skills, a solid understanding of ML fundamentals, and a passion for solving real‑world problems through data‑driven solutions. **Job Description** **Core Responsibilities** * Own the end to end lifecycle of machine learning solutions, from problem formulation and data exploration to model deployment and monitoring. * Design, build, and optimize advanced ML models for classification and regression problems. * Develop and maintain time series and forecasting models to analyze temporal patterns and predict future business outcomes. * Lead feature engineering strategy, including feature selection, transformations, and handling data quality and drift. * Perform exploratory data analysis (EDA) and translate insights business recommendations. * Build scalable, reusable ML pipelines for training, validation, inference, and monitoring using industry best practices. * Work with Databricks or similar IDEs to develop efficient, production‑ready pip
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