Job Summary
This job entails implementing machine learning algorithms for products, model training, and deployment management. It involves data pipeline design, technical documentation, and innovation with patents and APIs. The role evaluates ML solutions, conducts case studies, and designs proof of concept strategies. It also includes research contribution for future development.
Job Description
Responsibilities:
- Implementing, refining, and validating machine learning algorithms tailored for company products and applications
- Training machine learning models, validating their accuracy, and manage the deployment of these models into production environments
- Designing and developing data pipelines, ensuring proper data ingestion, validation, cleaning, and monitoring
- Researching and authoring documentation and technical requirements, including white papers, test results, and formal recommendations
- Innovating by contributing to the creation of patents, Application Programming Interfaces (APIs), and other intellectual property
- Testing and evaluating machine learning solutions from internal and external sources, providing detailed assessments
- Conducting case studies and compile reports to inform testing strategies and results
- Designing proof of concept solutions, contributing to research studies that underpin future product or application development
- 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.
- 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 our communities.
Disclaimer: This information has been designed to indicate the general nature and level of work performed by employees in this role. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications.
Comcast is 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.
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 to eligible employees. 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.
Education
Bachelor's Degree
While possessing the stated degree is preferred, Comcast also may consider applicants who hold some combination of coursework and experience, or who have extensive related professional experience.
Relevant Work Experience
2-5 Years
Skills Required
- 2-5 years relevant work experience
- Experience implementing, validating, and deploying machine learning models into production
- Experience designing and developing data pipelines (ingestion, validation, cleaning, monitoring)
- Experience researching and authoring technical documentation, white papers, and test results
- Ability to work nights and weekends; variable schedule availability
- Bachelor's degree (or equivalent coursework and experience)
Comcast Compensation & Benefits Highlights
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Healthcare Strength — Company-sponsored medical, dental, and vision coverage is paired with 24/7 virtual care and confidential counseling, with additional wellness tools like the Calm app. This breadth points to a robust core health offering.
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Retirement Support — A 401(k) with a company match is highlighted as generous, complemented by tuition reimbursement and access to financial coaching. Together these programs strengthen long-term financial security.
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Parental & Family Support — Paid parental leave for primary and non-primary caregivers, plus fertility/family-forming coverage and adoption/surrogacy reimbursements, indicate strong support for families. Additional caregiving resources and return-to-work programs further bolster this area.
Comcast Insights
What We Do
Welcome to Comcast. From the connectivity and platforms we provide to the content and experiences we create, we bring people together, globally. Our people think the world of our work, and that’s why our work is the best in the world.
Why Work With Us
We believe you can achieve extraordinary things when you feel connected - to the work you do and who you do it with. From the platforms we provide to millions of people, to the content and experiences we create - we bring our customers, viewers and teammates closer together across the globe.
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Comcast Offices
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Employees engage in a combination of remote and on-site work.

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