Principal, 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 novel machine learning algorithms to solve them. Evaluates accuracy and functionality of individual machine learning algorithms and understands the overall implications of entire machine learning frameworks. Responsible for overseeing design, implementation and evaluation of future machine learning based products and applications. Guides engineering teams to successfully deploy and operate machine learning based products and applications. Develops novel ways to solve problems and improve products using machine learning, provide guidance and leadership to other researchers and/or engineers. Acts as a technical expert in own area within the organization. May work independently or as part of a team on more complex projects. Provides mentoring and guidance to more junior team members. May be responsible for leading a team, but does not directly manage people.

Job Description

Core Responsibilities

• Guides the successful completion of high profile, revenue impacting programs that use machine learning as essential components. Determines the technical objectives of an assignment. Leads the design of prototypes, partnering with the product team and other stakeholders through development. Conducts studies to support product or application development. Serves as a leader to others for machine learning technologies.
• Designs and develops 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 medium to high complexity machine learning models. Lead innovation in technical capability delivery.
• Contributes to the realization of cutting-edge technical capabilities into business applications and solutions by being responsible for applying advanced algorithms and techniques to software solutions.
• Researches, writes and edits documentation and technical requirements, including evaluation plans, confluence pages, white papers, presentations, test results, technical manuals, formal recommendations and reports. Creates patents, Application Programming Interfaces (APIs) and other intellectual property. Presents papers and/or attends conferences, as well as displaying leadership in these areas.
• Tests and evaluates solutions presented to the Company by various internal and external partners and vendors. Completes case studies, testing and reporting.
• Represents the work team and organization as the prime technical contact on assigned projects.
• Serves as a leader to others on assigned projects. Provides guidance and leadership to more junior engineers.
• 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.

An ideal candidate would have experience in implementing reinforcement learning recommendation solutions using modern techniques such as Q-learning, Deep Q-learning, Thompson Sampling, Deterministic Policy Gradient, Markov Decision Processes, On- and Off-policy learning, and optimizing explore and exploit strategies.

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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