Comcast’s Technology, Product & Experience organization works at the intersection of media and technology. Our innovative teams are continually developing and delivering products that transform the customer experience. From creating apps like TVGo to new features such as the Talking Guide on the X1 platform, we work every day to make a positive impact through innovation in the pursuit of building amazing products that are enjoyable, easy to use and accessible across all platforms. The team also develops and supports our evolving network architecture, including next-generation consumer systems and technologies, infrastructure and engineering, network integration and management tools, and technical standards. Because our employees are our most valuable asset, we offer a flexible working environment to balance the need to work independently wherever you choose, with days that require collaboration at one of our offices. Our roles primarily reside inside or around one of our Tech Hubs (Philadelphia and surrounding suburbs, Denver, Austin, Silicon Valley, Washington DC/N. Virginia).

Job Summary

Responsible for identifying complex problems across multiple platforms and projects within one or more area and developing novel machine learning algorithms to solve them. Provides expertise across the company in one or more areas and is responsible for setting strategic roadmaps for one or more areas. Promotes use of machine learning in multiple areas internally and externally. Presents at external meetings. Actively engaged in creating intellectual property and filing patents for the company. May help in creating of industry standards and open source software frameworks. Evaluates accuracy and functionality of individual machine learning algorithms and the overall implications of entire machine learning frameworks Responsible for overseeing design, implementation and evaluation of future machine learning based products and applications. Guides multiple engineering teams to successfully deploy and operate machine learning based products and applications. Provides guidance and leadership to other researchers and/or engineers in developing novel ways to solve problems and discover new products using machine learning. Acts as the main technical expert in more than one area of machine learning within the organization and possible company. Integrates knowledge of business and functional priorities. Acts as a key contributor in a complex and crucial environment. Provides mentoring and guidance to other researchers and engineers in the company.

Job Description

Core Responsibilities

• Advises and represents strategic roadmap for machine learning technologies to executive leadership.
• Potentially engages with other business units and partners on strategy in the area of machine learning.
• Guides the successful completion of high profile, revenue impacting programs that use machine learning as essential components. Serves as a leader across multiple teams for specific machine learning technologies and/or areas of research.
• Research and/or engineering lead for teams in the development of specifications, technical requirements, algorithms and frameworks of custom machine learning based designs for future products and applications.
• Acts as a subject matter expert in designing and prototyping machine learning models and/or machine learning frameworks of high complexity. Leads innovation in technical capability delivery.
• Research and/or engineering lead for teams in determining the technical requirements for a machine learning application or platform. Leads the design and implementation of machine learning applications and platforms within one or more product areas, partnering with the product teams and other stakeholders through development. Conducts studies to support product or application development.
• Creates patents, application programming interfaces (APIs) and other intellectual property. Presents papers at conferences, as well as displaying leadership in these areas. Participates in standards bodies. May guide contributions to open source efforts.
• Tests and evaluates solutions presented to the Company by various internal and external partners and vendors. Leads teams in completing case studies, testing and reporting.
• Represents the organization and possible the company as the prime technical contact for one or more technical areas that utilize machine learning.
• Provides guidance and leadership to team members across the organization and possibly company.
• Consistent exercise of independent judgment and discretion in matters of significance.
• Regular, consistent and punctual attendance. Must be able to work nights and weekends, variable schedule(s) and overtime as necessary.
• Other duties and responsibilities as assigned.

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.

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 EOE/Veterans/Disabled/LGBT employer.

Comcast is proud to be 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, or any other basis protected by applicable law.

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

15 Years +

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. 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.