{"schemaVersion":"jobsearcher.job.v1","id":"6e7b7242eccbc1d6112ed36c","url":"https://jobsearcher.com/jobs/6e7b7242eccbc1d6112ed36c","canonicalUrl":"https://jobsearcher.com/jobs/6e7b7242eccbc1d6112ed36c","title":"Engineer 3, Machine","description":"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.\n(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.)\nPosition is eligible to work remotely one day a week, per company policy.\nDUTIES Contribute to a team responsible for building, maintaining, and improving Machine Learning models to solve practical problems\nbuild and train Machine Learning models, including Deep Learning models, using TensorFlow, PyTorch, Databricks, and Spark\ngather data to train models using PySpark\nuse Airflow to orchestrate jobs created in Databricks\ndevelop, test, and debug software using Python and command line tools\ndevelop and maintain scalable APIs using Python\ndevelop services to be deployed in microservice architecture, using Kubernetes, Helm Charts, AWS, and Istio\ntranslate and optimize Machine Learning models, and report on Machine Learning model performance, using Prometheus, Grafana, Kubernetes, and Istio\ntranslate feature designs and problems into Machine Learning models and software\nperform source control using Git\nwork in an Agile development environment\nperform CI/CD using GitHub Actions\ncontribute to both software engineering and machine learning sides of projects by implementing, refining, and validating machine learning algorithms for products and applications\ntake action on existing specifications of designs and develop data pipelines consisting of data ingest, data validation, data cleaning, and data monitoring\ntrain machine learning models, validate the accuracy of the machine learning models once trained, and deploy validated machine learning models into production\nresearch, write, and edit documentation and technical requirements, including evaluation plans, confluence pages, white papers, presentations, test results, technical manuals, formal recommendations and reports\ncreate patents, including Application Programming Interfaces (APIs) and other intellectual property\ntest and evaluate solutions presented by various internal and external partners and vendors\ncomplete case studies, testing, and reporting\ndesign proof of concept solutions and contribute to studies to support future product or application development\ncollaborate with teams outside of immediate work group\nrepresent the work team in providing solutions to technical issues associated with assigned projects\nREQUIREMENTS Master’s degree, or foreign equivalent, in Computer Science, Engineering, or related technical field, and one (1) year of experience building and training Machine Learning models, including Deep Learning models, using TensorFlow, PyTorch, Databricks, and Spark\ngathering data to train models using Jenkins\ndeveloping, testing, and debugging software using Python and command line tools\ndeveloping and maintaining scalable APIs using Python\ndeveloping services to be deployed in microservice architecture, using Kubernetes, Helm Charts, AWS, and Istio\ntranslating and optimizing Machine Learning models, and reporting on Machine Learning model performance, using Prometheus, Grafana, Kubernetes, and Istio\ntranslating feature designs and problems into Machine Learning models and software\nperforming source control using Git\nworking in an Agile development environment\nperforming CI/CD using Jenkins\nSALARY SALARY: $126,090 to $165,000 per year\nBENEFITS BENEFITS: https://jobs.comcast.com/life-at-comcast/benefits\nDisclaimer 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.\nSkills Skills Kubernetes, PyTorch, Tensorflow\nCompensation Base Pay Compensation Base Pay: $126,090.00 Comcast intends to offer the selected candidate base pay dependent on job-related, non-discriminatory factors such as experience. 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.\nApplication window The application window is 30 days from the date job is posted, unless the number of applicants requires it to close sooner or later.\nEqual Opportunity 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.\nAt Comcast , you have the power to connect the world.\nYour career options are endless as you grow in your career. Explore your future with access to a variety of teams, locations, and resources in an expanding network. You can also explore additional opportunities at our company, NBCUniversal.\n\n#J-18808-Ljbffr","company":"Blueface","rawCompany":"blueface","city":"Washington","state":"DC","isRemote":false,"isActive":false,"createdAt":"2026-08-21T03:34:37.620Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"}],"industries":[{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"518210","title":"Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services","slug":"computing-infrastructure-providers-data-processing-web-hosting-and-related-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Engineer 3, Machine","description":"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.\n(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.)\nPosition is eligible to work remotely one day a week, per company policy.\nDUTIES Contribute to a team responsible for building, maintaining, and improving Machine Learning models to solve practical problems\nbuild and train Machine Learning models, including Deep Learning models, using TensorFlow, PyTorch, Databricks, and Spark\ngather data to train models using PySpark\nuse Airflow to orchestrate jobs created in Databricks\ndevelop, test, and debug software using Python and command line tools\ndevelop and maintain scalable APIs using Python\ndevelop services to be deployed in microservice architecture, using Kubernetes, Helm Charts, AWS, and Istio\ntranslate and optimize Machine Learning models, and report on Machine Learning model performance, using Prometheus, Grafana, Kubernetes, and Istio\ntranslate feature designs and problems into Machine Learning models and software\nperform source control using Git\nwork in an Agile development environment\nperform CI/CD using GitHub Actions\ncontribute to both software engineering and machine learning sides of projects by implementing, refining, and validating machine learning algorithms for products and applications\ntake action on existing specifications of designs and develop data pipelines consisting of data ingest, data validation, data cleaning, and data monitoring\ntrain machine learning models, validate the accuracy of the machine learning models once trained, and deploy validated machine learning models into production\nresearch, write, and edit documentation and technical requirements, including evaluation plans, confluence pages, white papers, presentations, test results, technical manuals, formal recommendations and reports\ncreate patents, including Application Programming Interfaces (APIs) and other intellectual property\ntest and evaluate solutions presented by various internal and external partners and vendors\ncomplete case studies, testing, and reporting\ndesign proof of concept solutions and contribute to studies to support future product or application development\ncollaborate with teams outside of immediate work group\nrepresent the work team in providing solutions to technical issues associated with assigned projects\nREQUIREMENTS Master’s degree, or foreign equivalent, in Computer Science, Engineering, or related technical field, and one (1) year of experience building and training Machine Learning models, including Deep Learning models, using TensorFlow, PyTorch, Databricks, and Spark\ngathering data to train models using Jenkins\ndeveloping, testing, and debugging software using Python and command line tools\ndeveloping and maintaining scalable APIs using Python\ndeveloping services to be deployed in microservice architecture, using Kubernetes, Helm Charts, AWS, and Istio\ntranslating and optimizing Machine Learning models, and reporting on Machine Learning model performance, using Prometheus, Grafana, Kubernetes, and Istio\ntranslating feature designs and problems into Machine Learning models and software\nperforming source control using Git\nworking in an Agile development environment\nperforming CI/CD using Jenkins\nSALARY SALARY: $126,090 to $165,000 per year\nBENEFITS BENEFITS: https://jobs.comcast.com/life-at-comcast/benefits\nDisclaimer 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.\nSkills Skills Kubernetes, PyTorch, Tensorflow\nCompensation Base Pay Compensation Base Pay: $126,090.00 Comcast intends to offer the selected candidate base pay dependent on job-related, non-discriminatory factors such as experience. 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.\nApplication window The application window is 30 days from the date job is posted, unless the number of applicants requires it to close sooner or later.\nEqual Opportunity 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.\nAt Comcast , you have the power to connect the world.\nYour career options are endless as you grow in your career. Explore your future with access to a variety of teams, locations, and resources in an expanding network. You can also explore additional opportunities at our company, NBCUniversal.\n\n#J-18808-Ljbffr","datePosted":"2026-08-21T03:34:37.620Z","dateModified":"2026-08-21T03:34:37.620Z","hiringOrganization":{"@type":"Organization","name":"Blueface","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Washington","addressRegion":"DC","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"6e7b7242eccbc1d6112ed36c"},"url":"https://jobsearcher.com/jobs/6e7b7242eccbc1d6112ed36c"}}