{"schemaVersion":"jobsearcher.job.v1","id":"52430b4f8f5684b47c7715e6","url":"https://jobsearcher.com/jobs/52430b4f8f5684b47c7715e6","canonicalUrl":"https://jobsearcher.com/jobs/52430b4f8f5684b47c7715e6","title":"Machine Learning Engineer","description":"XUMO (Comcast) is seeking a highly experienced Machine Learning Engineer to design, train, and deploy machine learning models that power recommendation capabilities. This hybrid role in Irvine, CA focuses on personalization algorithms built on large-scale data, with responsibilities spanning modeling, evaluation, data pipelines, and cross-team integration.\r\nResponsibilitiesDevelop and improve machine learning algorithms for integration across products and applications, aligned to specifications and data pipeline architectures.\r\nLead training of machine learning models, including validation and deployment into production systems.\r\nCreate and maintain data pipelines that support efficient data ingestion, validation, cleaning, and ongoing monitoring.\r\nProduce documentation and technical requirements, including evaluation plans, white papers, and reports.\r\nContribute to patents, Application Programming Interfaces (APIs), and other intellectual property.\r\nAssess machine learning solutions from internal and external partners by leading testing and assessment initiatives.\r\nRun deep-dive case studies and compile findings to inform product development and testing strategies.\r\nDesign proof of concept solutions and direct studies that support future product or application advancement.\r\nCollaborate with cross-functional teams to provide technical solutions for complex issues tied to assigned projects.\r\nProvide guidance and mentorship to junior engineers and set a technical example within the team.\r\nDevelop and train sophisticated machine learning algorithms and implement the core recommendation system to increase product engagement through collaboration with multiple systems.\r\nAnalyze big data to generate algorithmic insights.\r\nWork with product and operations teams to translate business requirements into algorithmic solutions, documenting model architectures and logic.\r\nRapidly prototype new recommendation concepts and algorithms, validating mathematical approaches and transitioning experimental models into production-ready code.\r\nImplement, tune, and scale advanced machine learning models and multi-algorithm A/B testing logic to develop the core intelligence of the recommendation system.\r\nPartner with backend and client engineering teams to integrate models, prioritize algorithmic enhancements, and define approaches for model serving and latency reduction.\r\nCreate technical documentation covering algorithm behavior, model dependencies, and requirements for system integration with the recommendation engine.\r\nDrive decisions on model selection, hyperparameter optimization, and feature engineering to address complex business problems and improve personalized content delivery.\r\nEngineer feature sets and training data schemas optimized for recommendation algorithm training and serving.\r\nExecute offline evaluations and online A/B tests, producing insights into performance against established baselines and benchmarks.\r\nDrive results and growth, and support a culture of inclusion in day-to-day work and leadership.\r\nRequirements3+ years of experience using statistical computer languages (Python, R, etc.).\r\n3+ years of experience manipulating big data (BigQuery, etc.).\r\n3+ years of experience operating databases (MySQL, PostgreSQL, Oracle, MongoDB).\r\nExperience and knowledge of developing multiple machine learning techniques including clustering, decision tree learning, and artificial neural networks, including real-world advantages and drawbacks.\r\nExperience and knowledge of advanced statistical techniques and concepts such as regression, properties of distributions, statistical tests, and appropriate application.\r\nStrong problem-solving skills with emphasis on product development.\r\nExcellent written, drawing, and verbal communication skills for coordinating across teams.\r\nStrong leadership in designing and implementing approaches for new features and problem solving.\r\nSelf-starter capable of producing high-quality output with minimal supervision.\r\nAggressive learner for new technologies and techniques.\r\nRole location: office-based in Irvine, CA, 4 days/week in office and 1 day remote.\r\nTechnologiesPython, R\r\nBigQuery\r\nMySQL, PostgreSQL, Oracle, MongoDB\r\nBig data\r\nclustering, decision tree learning, artificial neural networks, regression, statistical tests\r\nGoogle Cloud, AWS, Azure\r\nSpark\r\nLinux-based operating system, CentOS, OSX\r\nA/B testing\r\nmachine learning frameworks\r\nDesirable ExperiencesExperience operating servers in cloud environments (Google Cloud, AWS, Azure).\r\nExperience with data processing frameworks (Spark).\r\nExperience working with Linux-based operating systems (CentOS, OSX).\r\nExperience developing scalable and highly available applications.\r\nExperience with recommendation services.\r\nSkillsCollaboration\r\nAlgorithms\r\nRecommendation Engines\r\nBusiness Problems\r\nEducationBachelor's Degree\r\nExperience Level5-7 Years\r\nSalaryPay range: This job can be performed in California with a good faith estimated pay range upon hire of$142,651.46 - $190,201.94 USD .\r\nLocation and ScheduleIrvine, CA(hybrid): 4 days/week in office and 1 day remote.\r\nMinimum Experience3 years#J-18808-Ljbffr","company":"Comcast","rawCompany":"comcast","city":"Irvine","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-10-14T01:44:07.672Z","occupations":[{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1221.00","title":"Computer and Information Research Scientists","slug":"computer-and-information-research-scientists"}],"industries":[{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Machine Learning Engineer","description":"XUMO (Comcast) is seeking a highly experienced Machine Learning Engineer to design, train, and deploy machine learning models that power recommendation capabilities. This hybrid role in Irvine, CA focuses on personalization algorithms built on large-scale data, with responsibilities spanning modeling, evaluation, data pipelines, and cross-team integration.\r\nResponsibilitiesDevelop and improve machine learning algorithms for integration across products and applications, aligned to specifications and data pipeline architectures.\r\nLead training of machine learning models, including validation and deployment into production systems.\r\nCreate and maintain data pipelines that support efficient data ingestion, validation, cleaning, and ongoing monitoring.\r\nProduce documentation and technical requirements, including evaluation plans, white papers, and reports.\r\nContribute to patents, Application Programming Interfaces (APIs), and other intellectual property.\r\nAssess machine learning solutions from internal and external partners by leading testing and assessment initiatives.\r\nRun deep-dive case studies and compile findings to inform product development and testing strategies.\r\nDesign proof of concept solutions and direct studies that support future product or application advancement.\r\nCollaborate with cross-functional teams to provide technical solutions for complex issues tied to assigned projects.\r\nProvide guidance and mentorship to junior engineers and set a technical example within the team.\r\nDevelop and train sophisticated machine learning algorithms and implement the core recommendation system to increase product engagement through collaboration with multiple systems.\r\nAnalyze big data to generate algorithmic insights.\r\nWork with product and operations teams to translate business requirements into algorithmic solutions, documenting model architectures and logic.\r\nRapidly prototype new recommendation concepts and algorithms, validating mathematical approaches and transitioning experimental models into production-ready code.\r\nImplement, tune, and scale advanced machine learning models and multi-algorithm A/B testing logic to develop the core intelligence of the recommendation system.\r\nPartner with backend and client engineering teams to integrate models, prioritize algorithmic enhancements, and define approaches for model serving and latency reduction.\r\nCreate technical documentation covering algorithm behavior, model dependencies, and requirements for system integration with the recommendation engine.\r\nDrive decisions on model selection, hyperparameter optimization, and feature engineering to address complex business problems and improve personalized content delivery.\r\nEngineer feature sets and training data schemas optimized for recommendation algorithm training and serving.\r\nExecute offline evaluations and online A/B tests, producing insights into performance against established baselines and benchmarks.\r\nDrive results and growth, and support a culture of inclusion in day-to-day work and leadership.\r\nRequirements3+ years of experience using statistical computer languages (Python, R, etc.).\r\n3+ years of experience manipulating big data (BigQuery, etc.).\r\n3+ years of experience operating databases (MySQL, PostgreSQL, Oracle, MongoDB).\r\nExperience and knowledge of developing multiple machine learning techniques including clustering, decision tree learning, and artificial neural networks, including real-world advantages and drawbacks.\r\nExperience and knowledge of advanced statistical techniques and concepts such as regression, properties of distributions, statistical tests, and appropriate application.\r\nStrong problem-solving skills with emphasis on product development.\r\nExcellent written, drawing, and verbal communication skills for coordinating across teams.\r\nStrong leadership in designing and implementing approaches for new features and problem solving.\r\nSelf-starter capable of producing high-quality output with minimal supervision.\r\nAggressive learner for new technologies and techniques.\r\nRole location: office-based in Irvine, CA, 4 days/week in office and 1 day remote.\r\nTechnologiesPython, R\r\nBigQuery\r\nMySQL, PostgreSQL, Oracle, MongoDB\r\nBig data\r\nclustering, decision tree learning, artificial neural networks, regression, statistical tests\r\nGoogle Cloud, AWS, Azure\r\nSpark\r\nLinux-based operating system, CentOS, OSX\r\nA/B testing\r\nmachine learning frameworks\r\nDesirable ExperiencesExperience operating servers in cloud environments (Google Cloud, AWS, Azure).\r\nExperience with data processing frameworks (Spark).\r\nExperience working with Linux-based operating systems (CentOS, OSX).\r\nExperience developing scalable and highly available applications.\r\nExperience with recommendation services.\r\nSkillsCollaboration\r\nAlgorithms\r\nRecommendation Engines\r\nBusiness Problems\r\nEducationBachelor's Degree\r\nExperience Level5-7 Years\r\nSalaryPay range: This job can be performed in California with a good faith estimated pay range upon hire of$142,651.46 - $190,201.94 USD .\r\nLocation and ScheduleIrvine, CA(hybrid): 4 days/week in office and 1 day remote.\r\nMinimum Experience3 years#J-18808-Ljbffr","datePosted":"2026-10-14T01:44:07.672Z","dateModified":"2026-10-14T01:44:07.672Z","hiringOrganization":{"@type":"Organization","name":"Comcast","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Irvine","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"52430b4f8f5684b47c7715e6"},"url":"https://jobsearcher.com/jobs/52430b4f8f5684b47c7715e6"}}