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Sr. Machine Learning Engineer
ComcastWashington, United Statesfull_timeVerifiedPosted 2 Dec 2025
💰 $351,571/yr($234,381/yr – $351,571/yr)
About the role
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 identifying complex problems across multiple platforms and projects within one or more areas of research and developing novel machine learning algorithms to solve them. Evaluates accuracy and functionality of individual machine learning algorithms and as well as the overall implications of entire machine learning frameworks. Contributes to internal strategy and roadmap for one or more areas of machine learning research. Promotes areas of machine learning research internally and externally. May present at external meetings. Responsible for overseeing design, implementation and evaluation of future machine learning based products and applications. Guides multiple engineering teams to successfully deploy and operate machine learning based products and applications. Provides guidance and leadership to other researchers and engineers in developing novel ways to solve problems using machine learning and discover new machine learning powered products. Collaborates and influences teams and works cross functionally. Integrates knowledge of business and functional priorities. Acts as a key contributor in a complex and crucial environment. Leads teams and projects and shares expertise, but does not directly manage people.Job Description
Must Have Skills:
- Pre- and Post-training of Large Language Models (LLMs)
- LLM Agents, Agentic AI, Multi-agent system
- Agentic AI Evaluations
- Advanced Machine Learning
Core Responsibilities
- Guides the successful completion of high profile, revenue impacting programs that use machine learning as essential components. Determines the technical objectives of an assignment. Serves as a leader across multiple teams for machine learning technologies and areas of research, including the design of prototypes and partnering with the product team.
- Leads teams in the design and development of specifications, technical requirements, algorithms and frameworks of custom machine learning based designs for future products and applications.
- Acts as a subject matter expert in designing and prototyping high complexity machine learning models. Leads innovation in technical capability delivery.
- Leads the realization of cutting-edge technical capabilities into business applications and solutions by being responsible for applying advanced algorithms and techniques to software solutions.
- Researches, writes and edits documentation and technical requirements, including evaluation plans, confluence pages, white papers, presentations, test results, technical manuals, formal recommendations and reports. Creates patents, application programming interfaces (APIs) and other intellectual property. Presents papers and/or attends conferences, as well as displaying leadership in these areas.
- Specialized in LLM agents and large-scale evaluations of them.
- Tests and evaluates solutions presented to the Company by various internal and external partners and vendors. Leads teams in completing case studies, testing and reporting.
- Represents the work team and organization as the prime technical contact for one or more areas.
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