Machine Learning Engineer 1

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.

Job Description

This position is ineligible for visa sponsorship.  To be considered for this role, you must be legally authorized to work in the United States and not require sponsorship for employment now or in the future.

Responsibilities:  

• Building a strong intuitive understanding of the problem domain (Next Generation Access Networks). Identify testable hypotheses to explain interesting phenomena in this domain. 
• Integrating data from multiple sources including third party sources. 
• Data mining using state-of-the-art methods 
• Developing actionable quantitative models in the areas of effectiveness, ROI, pricing and optimization. 
• Doing ad-hoc analysis and presenting results in a clear manner 
• Creating automated anomaly detection systems and constant tracking of its performance 
• Creating automated evaluation environment of complex models and constant tracking of relevant performance 

 

 

Here are some of the  specific technologies we use:  

• Spark (AWS EMR, Databricks), AWS Lambda 
• Spark Streaming and Batch  
• MySQL, Cassandra, HBase, MongoDB, RDBMS 
• Java, Scala, Go, Python, R 
• Git, Maven, Gradle, Jenkins  
• Visualization suite (Tableau, Grafana) 

  

Required Skills:

• College degree  in the following areas: Statistics, Data Science, Computer Science or relevant science or engineering discipline. 
• Understanding of machine learning techniques and algorithms, especially in the deep learning area -- both theoretical underpinnings and craft (Systems such as Tensorflow, Theano, Caffe, scikit.learn and their APIs).  
• Applied statistics skills and understanding of probability distributions, statistical testing, regression, etc. 
• Experience with common data science toolkits, such as scikit-learn, R, etc.  Excellence in at least one of these is highly desirable. 
• Great communication skills. 
• Experience with data visualization tools, such as D3.js, GGplot, Matplotlib, etc. 
• Comfortable in using query languages such as SQL and Hive.  

Here's a look at just some of the perks and benefits we make available to our US-based employees:

• Medical & Dental

• 401(k) Savings Plan

• Generous paid time off

• Life Milestones - from adoption assistance, childcare resources, pet insurance, and more, Comcast supports you at all life stages.

• Courtesy Services - We offer all of our full-time employees in serviceable areas free digital TV and internet.

• Learn more at 

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