Lead Research Engineer, Machine Learning

Key Skills

Java Programming, Python Programming, C++, C Programming, SQL, Reinforcement Learning, TensorFlow, XGBoost, Scikit-learn, R Programming, SPARK Programming, RNNs, Statistical modeling

Job Description

Responsible for identifying business problems and developing and deploying novel AI ML 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

Are you interested in solving AI and ML problems that involve massive data sets with telemetry features from our customer’s devices? Do you have experience in building large-scale recommendation and machine learning systems? If yes, come join our team. Comcast brings together the best in media and technology. 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.

The Comcast Applied AI for Customer Experience team is an innovative research group within Comcast’s Technology & Product organization with offices in Washington DC, Philadelphia and Denver that engages in groundbreaking research to re-invent customer experience for Comcast’s 22+ Million consumers using AI and machine learning.

We are currently looking to hire a lead researcher. They will be:

Responsible for identifying business problems and developing and deploying novel AI ML 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.

Core Responsibilities:

Strives for the successful completion of high profile, revenue impacting programs that use machine learning as essential components. Determines the technical objectives of an assignment. Could potentially mentor junior engineers as well as contribute as an individual contributor on key projects.

Leads the design of prototypes, partnering with Product Managers and other Business Partners on development that:

Demonstrates AI/ML Research work related to one or more of the following areas:

• Customer experience improvement using virtual assistants (chatbot).
• machine learning and big data analytics for predictive modeling and proactive action recommendation.
• Wi-Fi network modeling and optimization.
• Help with Product discovery and integrate research output into engineering code base. Conducts studies to support product or application development
•  Collaborates with teams outside of immediate work group. Represents the work team in providing solutions to technical issues associated with assigned projects. Collaborate with the ML platform team to remediate model issues and provide subject-matter expert opinions on model improvements.
• Drive innovation on improving the speed, coverage and control of high-speed internet data.
• Perform model validation activities including validation report write-ups, identification of model risks, and development of benchmark models.
•  Researches, writes and edits documentation and technical requirements, including evaluation plans, confluence pages, white papers, presentations, test results, technical manuals, formal recommendations and reports. Contributes to the company by creating patents, Application Programming Interfaces (APIs) and other intellectual property.
• Develop new algorithmic solutions and technical requirements of custom designs for future products and applications.
•  Designs and implements end-to-end solutions using optimization and other advanced computer science technologies and owns live deployments. Aggregates huge amounts of data and information from large numbers of sources to discover patterns and features necessary to automate analytical models.
• Keep track of developments of relevant fields both in academia and industry. Attend relevant conferences and publishing research results is strongly encouraged. Presents papers and/or attends conferences, as well as displaying leadership in these areas.
• Conduct research in an incremental manner thereby enabling faster integration of technology into products. Tests and evaluates solutions presented to the Company by various internal and external partners and vendors. Completes case studies, testing and reporting.
• Mentor a diverse team of junior engineers in machine learning techniques, tools and concepts. Provides guidance and leadership to more junior engineers. Consistent exercise of independent judgment and discretion in matters of significance.
• Regular, consistent and punctual attendance.
• 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.

Nice to have:

• Strong technical and problem-solving skills in machine learning and big data.
• Advanced knowledge of statistical and machine learning models (e.g., logistic regression, time series analysis, random forests, SVMs, XGBoost, RNNs). Reinforcement Learning (RL) with a focus on Contextual Bandits techniques is) is highly desired.
• 2+ years of experience in machine learning, advanced statistical models, and AI research, Wi-Fi network modeling, optimization, localization and radio resource management. Domain knowledge on Wi-Fi/HSD/video preferred.
• Strong programming skills on big data analytics (e.g., Python, R, Scikit-learn, Tensorflow, Spark, etc.) and/or embedded programming (C/C++).

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.

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.