Comcast

We are looking for an entry-level machine learning engineer that would be part of our rapidly growing Data & Metrics squad that’s part of the Content Discovery crew that owns the full stack and operationalization of our personalized product offerings.. Responsible for Development and Maintenance of highly Performant Java/Python based Microservices to Kubernetes Cluster that return the usage events.. Using Workflow management tools such as Airflow.. Familiarity with Tools such as Databricks/Terraform/Concourse. 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.

machine learning engineer

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
This job code is to be used for internships and co-ops. It is not to be used for temporary or contract workers. Job Description
Program Overview
The Comcast Cooperative Educational Program (Co-op) immerses students into the daily operations of a contemporary media and technology company while working side-by-side with Comcast’s top innovators. Designed for students whose curriculum allows for a cooperative learning track, the co-op becomes an integral part of the Comcast team working on creative, innovative, and thought-provoking projects within various business units. Throughout the experience, there is opportunity for exposure to mentorship and professional development while having some fun along the way.
Role Overview
We are looking for an entry-level machine learning engineer that would be part of our rapidly growing Data & Metrics squad that’s part of the Content Discovery crew that owns the full stack and operationalization of our personalized product offerings. You will be responsible for designing and building data and training pipeline components for the Comcast Personalization/Relevance Platform that is used by millions of customers of Comcast and its partners every day. We use sophisticated Data Pipelines which consume, and process millions of events generate training datasets, and populate the usage events to highly scalable and performant databases. Responsible for Development and Maintenance of highly Performant Java/Python based Microservices to Kubernetes Cluster that return the usage events. You will work with other engineers and researchers to build a variety of Machine/Deep Learning models over this data to personalize the content the users watch. As a key member of the team, you will help define, refine, and test state-of-the-art data/training pipelines, and scale the associated systems for high performance, stability, and availability in the cloud.
Co-op responsibilities include but are not limited to:
Building the data and training pipelines that fuel the personalization and relevance platform.
Able to write efficient and performant code with a good Unit Test coverage.
Building Java/Python Microservices.
Developing a platform that applies continuous delivery principles to the deployment of these pipelines.
Using data and metrics to inform your decision making.
Using infrastructure as code wherever vital such as Terraform.
Using Workflow management tools such as Airflow.
Preferred Qualifications
Able to write efficient code using one or more general purpose programming languages – Java, Scala, Go, or Python
Familiarity with server-side or cloud development experience (preferably AWS)
Familiarity distributed processing technologies such as Spark
Familiarity with Tools such as Databricks/Terraform/Concourse
Preferred Majors: Computer Science, Computer/Software Engineering or related technical field.
Currently pursuing a bachelor’s degree from a United States-based college or university that has a cooperative learning track.
Available to work 40 hours per week for 6 months starting April 1, 2024 through September 20, 2024.
Available to report in-person to the work location provided above.
3.0 minimum cumulative GPA preferred.
Authorized to work in the United States of America
Comcast is an Affirmative Action/EEO employer M/F/D/
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. Relevant Work Experience
0-2 Years Salary:
Base Pay: $32.00 The application window is 30 days from the date job is posted, unless the number of applicants requires it to close sooner or later. 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. #J-18808-Ljbffr

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