Engineer 1, Machine Learning

at  Comcast Corporation

Make your mark at Comcast - a Fortune 30 global media and technology company. From the connectivity and platforms we provide, to the content and experiences we create, we reach hundreds of millions of customers, viewers, and guests worldwide. Become part of our award-winning technology team that turns big ideas into cutting-edge products, platforms, and solutions that our customers love. We create space to innovate, and we recognize, reward, and invest in your ideas, while ensuring you can proudly bring your authentic self to the workplace. Join us. You’ll do the best work of your career right here at Comcast. (In most cases, Comcast prefers to have employees on-site collaborating unless the team has been designated as virtual due to the nature of their work. If a position is listed with both office locations and virtual offerings, Comcast may be willing to consider candidates who live greater than 100 miles from the office for the remote option.)

JOB SUMMARY

Responsible for collaborating effectively with peers to contribute to the team’s machine learning algorithm development and the software development process. Participates in the evaluation of accuracy and functionality of machine learning algorithms as a part of a larger team. Contributes to translating application requirements into machine learning problem statements. Analyzes and evaluates solutions both internally generated as well as third party supplied. Collaborates with peers to develop ways to use machine learning to solve problems and discover new products, working on a portion of the problem and collaborating with more senior researchers and engineers as needed. Works with moderate guidance in own area of knowledge.

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

0-2 Year

• Contributes as part of a team to the training of machine learning models, validation of the accuracy of the machine learning models once trained and deployment of validated machine learning models into production.
• Contributes as part of a team to the implementation, refinement and validation of machine learning algorithms for products and applications.
• Contributes as part of a team to designs and development of data pipelines consisting of data ingest, data validation, data cleaning and data monitoring.
• 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.
• Contributes to the testing and evaluation of solutions presented to the Company by various internal and external partners and vendors. Contributes to case studies, testing and reporting.
• Works with more senior researchers and engineers to design proof of concept solutions and contribute to studies to support future product or application development.
• 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.