Engineer 4 - Machine Learning

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
Responsible for identifying complex problems and developing and deploying novel prototypes and algorithms to solve them. Improves accuracy and functionality of algorithms and understands the overall implications of the entire machine learning frameworks. Translates application requirements into problem statements. Analyzes and evaluates solutions both internally generated as well as third party supplied. Develops novel ways to solve problems and discover new products. Provide guidance and leadership to more junior researchers. Integrates knowledge of business and functional priorities. Acts as a key contributor in a complex and crucial environment. May lead teams or projects and shares expertise.
Job Description

• Core Responsibilities
• Proven 5+ years of commercial experience in creating, testing, deploying, monitoring and maintaining machine learning pipelines
• Fluent with data manipulation and ML frameworks for EDA, feature extraction and development, modelling, hyperparameter tuning, experiment tracking and performance monitoring.
• Expertise in correlation analysis, classification / clustering techniques, anomaly detection and time series forecasting using either traditional or deep learning ML approaches
• Strong Python background with the ability to write clean, modular, and maintainable code following best practices including abstraction, exceptions handling, and testing to support long-term maintainability.
• Experience using SQL data exploration, feature extraction, and integration with analytical workflows.
• Familiarity with cloud platforms and products like Google VertexAI, BigQuery, CloudSQL, Compute Engine or similar solutions
• Demonstrated ability to support, mentor, and guide junior to mid-level data scientists and machine learning engineers
• Familiarity with Agile ways of working, participating in sprint planning, retrospectives etc.
• Excellent communication skills, with the ability to explain complex analytical concepts to technical and non-technical stakeholders. Preferred Qualifications
• PhD at a relevant field
• Networking/Telecommunications knowledge
• Experience with data visualisation tools and frameworks such as Dash, Streamlit, Superset etc, to aid in the presentation of model results and findings.

#CIECTN26

• 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.
• Support a culture of inclusion in how you work and lead.
• Do what's right for each other, our customers, investors and our communities.
• 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
7-10 Years