Sr. Machine Learning Engineer, AI Recommendation & Search

Sr. Machine Learning Engineer, AI Recommendation & Search Skip to main content#Sr. Machine Learning Engineer, AI Recommendation & Search page is loaded## Sr. Machine Learning Engineer, AI Recommendation & Search Apply locations:
Virtual:
TN - Virtual - B+ - ESTtime type:
Full time posted on:
Posted Todaytime left to apply:
End Date:
July 15, 2026 (4 days left to apply) job requisition :
R440919

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 entails directing advanced machine learning projects for decision automation and pattern recognition. It includes setting goals, designing prototypes, and leading research. The role manages sophisticated solutions, authors critical documentation, and mentors engineers. High-level machine learning expertise and innovation capacity are essential.
** Job Description
**** Responsibilities:
*** Leading the development of machine learning programs to identify patterns and automate decision-making processes
* Setting technical objectives for machine learning assignments and overseeing their execution
* Designing machine learning prototypes in collaboration with product teams and stakeholders
* Conducting research and studies to inform product development and application of machine learning techniques
* Implementing end-to-end machine learning solutions, including optimization technologies, and managing live deployments
* Aggregating and analyzing data from multiple sources to discover patterns for feature engineering and model automation
* Authoring technical documentation, including white papers and technical manuals, and contributing to intellectual property with patents and APIs
* Evaluating machine learning solutions from internal and external partners, conducting case studies and reporting on outcomes
* Collaborating with external teams and representing the work group in resolving technical challenges related to machine learning projects
* Mentoring junior engineers in machine learning methodologies and leading by example in technical expertise and innovation
* 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) as necessary.
* Other duties and responsibilities as assigned.
** Employees at all levels are expected to:
*** Understand our Operating Principles; make them the guidelines for how you do your job.
* Own the customer experience think and act in ways that put our customers first, give them seamless digital options at every touchpoint, and make them promoters of our products and services.
* Know your stuff be enthusiastic learners, users and advocates of our game-changing technology, products and services, especially our digital tools and experiences.
* Win as a team make big things happen by working together and being open to new ideas.
* Be an active part of the Net Promoter System a way of working that brings more employee and customer feedback into the company by joining huddles, making call backs and helping us elevate opportunities to do better for our customers.
* Drive results and growth.
* Support a culture of inclusion in how you work and lead.
* Do what's right for each other, our customers, investors and…