Engineer 3, Machine Learning-7565

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

Job Description

DUTIES: Develop and deploy machine learning algorithms using data engineering and Databricks for cluster-management, job scheduling, and development; design dashboard visualizations using Looker and LookML language; write queries using SQL; write ETL jobs using PySpark; use Git; utilize AWS technologies including S3, Glue, DynamoDB, and Athena; evaluate accuracy and functionality of machine learning algorithms; translate application requirements into machine learning problem statements; analyze and evaluate solutions both internally generated as well as third party-supplied; develop novel ways to use machine learning to solve problems and discover new products; implement, refine and validate machine learning algorithms for products and applications; take action on existing specifications of designs and developing data pipelines consisting of data ingest, data validation, data cleaning and data monitoring; train machine learning models, validate the accuracy of the machine learning models once trained and deploy validated machine learning models into production; research, write and edit documentation and technical requirements, including evaluation plans, confluence pages, white papers, presentations, test results, technical manuals, formal recommendations and reports; contribute to the company by creating patents, Application Programming Interfaces (APIs) and other intellectual property; test and evaluate solutions presented to the Company by various internal and external partners and vendors; design proof of concept solutions and contribute to studies to support future product or application development. Position is eligible to work remotely one or more days per week, per company policy.

REQUIREMENTS: Master's degree, or foreign equivalent, in Computer Science, Engineering, or related technical field, and one (1) year of experience developing and deploying machine learning algorithms using data engineering and Databricks for cluster-management, job scheduling, and development; designing dashboard visualizations using Looker and LookML language; writing queries using SQL; writing ETL jobs using PySpark; using Git; and utilizing AWS technologies including S3, Glue, DynamoDB, or Athena.

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.

Skills
LookML, Machine Learning Algorithms, SQL Query Writing

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 benefits summary on our careers site for more details.

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, genetic information, or any other basis protected by applicable law.