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

Responsible for developing and deploying machine learning algorithms. Evaluates accuracy and functionality of machine learning algorithms. Translates application requirements into machine learning problem statements. Analyzes and evaluates solutions both internally generated as well as third party supplied. Develops novel ways to use machine learning to solve problems and discover new products. Has in-depth experience, knowledge and skills in own discipline. Usually determines own work priorities. Acts as resource for colleagues with less experience.

Job Description

Core Responsibilities 

• Derives, implements, refines and validates machine learning algorithms for products and applications. 
• Takes action on existing specifications of designs and develops data pipelines consisting of data ingest, data validation, data cleaning and data monitoring. 
• Adopts new machine learning model architectures from the research literature, trains new machine learning models, validates the accuracy of the machine learning models once trained and deploys validated machine learning models into production using a machine learning deployment platform. 
• Researches, writes and edits documentation and technical requirements, including research papers, evaluation plans, confluence pages, white papers, presentations, test results, technical manuals, formal recommendations and reports. Contributes to the company by creating patents, and other intellectual property. 
• Tests and evaluates solutions presented to the Company by various internal and external partners and vendors. Completes case studies, testing and reporting. 
• Studies the machine learning research literature for ideas for new machine learning learning algorithms and approaches and adopts them to the context of the company. 
• Designs proof of concept solutions and contributes to studies to support future 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. 
• Provides guidance and leadership to more junior engineers and research interns. 
• 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. 

  

Skills

• Pre- and Post-training of Large Language Models (LLMs)
• LLM Agents, Agentic AI, Multi-agent systems
• Agentic AI Evaluations
• Machine Learning core fundamentals

 

Employees at all levels are expected to: