> Markdown version of [/jobs/ext/1788841-sr-machine-learning-engineer-ai-recommendation-search](https://www.wearedevelopers.com/jobs/ext/1788841-sr-machine-learning-engineer-ai-recommendation-search). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Sr. Machine Learning Engineer, AI Recommendation & Search - **Company:** Comcast - **Location:** United States (Remote available) - **Experience:** Expert - **Salary:** $117,098.0 - $274,449.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Data Analysis, Machine Learning, Feature Engineering, Generative AI, Virtual Agents - **Published:** July 11, 2026 - **Apply:** https://comcast.wd5.myworkdayjobs.com/Comcast_Careers/job/Virtual/Sr-Machine-Learning-Engineer--AI-Recommendation---Search_R440919-1 ## About the Role Agentic AI, Agentic Orchestration, Customer Experience (CX), Generative AI Agents, Machine Learning (ML), 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. ## Description * 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 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. ## Related Videos - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [HR ROBO SAPIENS: Decoding AI Agents and Workflow Automation for Modern Recruitment](https://www.wearedevelopers.com/videos/1470-hr-robo-sapiens-decoding-ai-agents-and-workflow-automation-for-modern-recruitment) - [Your imaginations is (no longer) the limit: how Generative AI empowers people to be creative](https://www.wearedevelopers.com/videos/741-your-imaginations-is-no-longer-the-limit-how-generative-ai-empowers-people-to-be-creative) - [Guiding Agentic AI with Vue](https://www.wearedevelopers.com/videos/2033-guiding-agentic-ai-with-vue) - [Data Science on Software Data](https://www.wearedevelopers.com/videos/162-data-science-on-software-data) - [The shadows that follow the AI generative models](https://www.wearedevelopers.com/videos/624-the-shadows-that-follow-the-ai-generative-models) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud](https://www.wearedevelopers.com/magazine/600-got-ai-ideas-but-no-money-here-are-10-free-ways-to-level-up-your-ai-skills-with-google-cloud) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [From Prototype to Production: Build AI Agents with This Free 4-Course Learning Path](https://www.wearedevelopers.com/magazine/655-from-prototype-to-production-build-ai-agents-with-this-free-4-course-learning-path) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production)