FreeWheel, A Comcast Company, comprised of FreeWheel Publishers, FreeWheel Markets, and FreeWheel Advertisers empowers all segments of The New TV Ecosystem. We are structured to provide the full breadth of solutions the advertising industry needs to achieve their goals. We power the technology, data enablement, and convergent marketplaces required to ensure buyers and sellers can transact across all screens, across all data types, and all sales channels, in order to ensure the ultimate goal results for marketers. With offices in New York, San Francisco, Chicago, London, Paris, Beijing, and across the globe, FreeWheel, A Comcast Company, stands to advocate for the entire industry through the FreeWheel Council for Premium Video.Job SummaryResponsible for identifying complex problems and developing and deploying novel prototypes and algorithms to solve them. Improves accuracy and functionality of algorithms and understands the overall implications of the entire machine learning frameworks. Translates application requirements into problem statements. Analyzes and evaluates solutions both internally generated as well as third party supplied. Develops novel ways to solve problems and discover new products. Provide guidance and leadership to more junior researchers. Integrates knowledge of business and functional priorities. Acts as a key contributor in a complex and crucial environment. May lead teams or projects and shares expertise.Job DescriptionCore Responsibilities:<ul><li>Responsible for ad server traffic shaping, bidding strategy optimization, delivery optimization and other adserving business using machine learning technology</li><li>In-depth understanding of business knowledge, data analysis, utilizing machine learning, algorithm strategies, etc., to design and develop and continuously iterate FreeWheel's advertising optimization capabilities</li><li>Lead the team in technological innovation, building and improving current algorithm and machine learning pipelines</li><li>Take responsibilities for the research, development, operation and maintenance of the ad delivery optimization.</li><li>Collaborates with project stakeholders to identify product and technical requirements. Conducts analysis to determine integration needs.</li><li>Designs new software and web applications, supports applications under development and customizes current applications. Assists with the software update process for existing applications and rollouts of software releases.</li><li>Participates in training representatives and operations staff on internally developed software applications.</li><li>Researches, writes and edits documentation and technical requirements, including software designs, evaluation plans, test results, technical manuals and formal recommendations and reports.</li><li>Monitors and evaluates competitive applications and products. Review literature, patents and current practices relevant to the solution of assigned projects.</li><li>Provides technical leadership throughout the design process and guidance with regards to practices, procedures and techniques. Serves as a guide and mentor for junior-level Software Development Engineers.</li><li>Displays in-depth knowledge of engineering methodologies, concepts, skills and their application in the area of specified engineering specialty.</li><li>Displays in-depth knowledge of and ability to apply, process design and redesign skills. Presents and defends architectural, design and technical choices to internal audiences.</li><li>Guides the successful completion of high profile, revenue impacting programs that use machine learning as essential components. Determines the technical objectives of an assignment. Leads the design of prototypes, partnering with the product team and other stakeholders through development. Conducts studies to support product or application development. Serves as a leader to others for machine learning technologies.</li><li>Designs and develops specifications, technical requirements, algorithms and frameworks of custom machine learning based designs for future products and applications.</li><li>Acts as a subject matter expert in designing and prototyping medium to high complexity machine learning models. Lead innovation in technical capability delivery.</li><li>Contributes to the realization of cutting-edge technical capabilities into business applications and solutions by being responsible for applying advanced algorithms and techniques to software solutions.</li><li>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.</li><li>Tests and evaluates solutions presented to the Company by various internal and external partners and vendors. Completes case studies, testing and reporting.</li><li>Represents the work team and organization as the prime technical contact on assigned projects.</li><li>Serves as a leader to others on assigned projects. Provides guidance and leadership to more junior engineers.</li><li>Consistent exercise of independent judgment and discretion in matters of significance.</li><li>Regular, consistent and punctual attendance. Must be able to work nights and weekends, variable schedule(s) and overtime as necessary.</li><li>Other duties and responsibilities as assigned.</li></ul>Qualifications:<ul><li>Proficient in one of Linux C++, Golang, or Spark, with excellent algorithm foundation and system design skills.</li><li>Strong foundation in machine learning and mathematical statistics, familiarity with TensorFlow or other mainstream machine learning frameworks</li><li>Demonstrates a strong sense of business-oriented product development, capable of translating business requirements into corresponding technical problems and solutions.</li><li>Bachelor's degree or higher in computer science, software engineering, electronics, or related fields is preferred.</li><li>Possesses excellent teamwork, proactive thinking, self-driven work ethic, and a strong sense of responsibility.</li><li>Excellent English communication skills, capable of working in an English-speaking environment.</li><li>Prior experience in the advertising industry is a plus.</li><li>Experience in AWS or other cloud platform development is preferred.</li></ul>Education:Bachelor's Degree or above.Relevant Work Experience:5 years or above.Employees at all levels are expected to:<ul><li>Understand our Operating Principles; make them the guidelines for how you do your job.</li><li>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.</li><li>Know your stuff - be enthusiastic learners, users and advocates of our game-changing technology, products and services, especially our digital tools and experiences.</li><li>Win as a team - make big things happen by working together and being open to new ideas.</li><li>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.</li><li>Drive results and growth.</li><li>Respect and promote inclusion & diversity.</li><li>Do what's right for each other, our customers, investors and our communities.</li></ul>Disclaimer:<ul><li>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.</li></ul>Comcast is proud to be 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.EducationBachelor's DegreeWhile 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 Experience5-7 YearsBase 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. 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. Thats 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 <a href="https://jobs.comcast.com/life-at-comcast/benefits">compensation and benefits summary </a>on our careers site for more details.

FreeWheel, a Comcast company, provides comprehensive ad platforms for publishers, advertisers, and media buyers. Powered by premium video content, robust data, and advanced technology, were making it easier for buyers and sellers to transact across all screens, data types, and sales channels. As a global company, we have offices in nine countries and can insert advertisements around the world.Job SummaryBeeswax enables automated media buying across the premium video and omnichannel advertising markets. A part of FreeWheel, our buy-side bidder solutions help advertisers and buyers transact with the programmatic ecosystem. Our core offerings Bidder-as-a-Service (BaaS) and the Beeswax DSP provide clients with agility, custom optimizations, and extensible APIs. We are looking for a Machine Learning Engineering with an in-depth working knowledge of the latest in Machine Learning/Data Science technologies and cloud platforms to join our Optimization team, which have three defining pillars: machine learning, software engineering, and machine learning operations (MLOps). In this role youll work on a wide range of computational challenges such as: user response prediction and bidding optimisation, forecasting, incrementality, bidding models, delivery optimization and more. We practice an effective data science process that recognizes the uncertainty in explorations for ML solutions but also emphasizes an agile software engineering workflow. We use the most popular tools in the Python data science ecosystem and embrace innovation.Job DescriptionCore Responsibilities<ul><li>Contribute to both software engineering and machine learning sides of projects.</li><li>Implements, refines and validates machine learning algorithms for products and applications.</li><li>Takes action on existing specifications of designs and develops data pipelines consisting of data ingest, data validation, data cleaning and data monitoring.</li><li>Trains machine learning models, validates the accuracy of the machine learning models once trained and deploys validated machine learning models into production.</li><li>Researches, writes and edits documentation and technical requirements, including evaluation plans, confluence pages, white papers, presentations, test results, technical manuals, formal recommendations and reports. Contributes to the company by creating patents, Application Programming Interfaces (APIs) and other intellectual property.</li><li>Tests and evaluates solutions presented to the Company by various internal and external partners and vendors. Completes case studies, testing and reporting.</li><li>Designs proof of concept solutions and contributes to studies to support future product or application development.</li><li>Collaborates with teams outside of immediate work group. Represents the work team in providing solutions to technical issues associated with assigned projects.</li><li>Provides guidance and leadership to more junior engineers.</li><li>Consistent exercise of independent judgment and discretion in matters of significance.</li><li>Regular, consistent and punctual attendance. Must be able to work nights and weekends, variable schedule(s) and overtime as necessary.</li><li>Other duties and responsibilities as assigned.</li></ul><div><div>Required:</div><div><ul><li>MS or above in a STEM (science, technology, engineering, mathematics) subject. </li><li>2+ years of demonstrable experience with machine learning/data science. </li><li>Proficient in Python and SQL; experience with one of C++/golang/Java. </li><li>Good understanding of engineering best practices, for example agile (in Data Science) and version control. </li><li>Effective collaboration with Product, Commercial and Engineering teams. </li></ul></div><div>Desired:</div><div><ul><li>Practical experience with MLOps tools like model server, feature store, and a/b testing system. </li><li>Practical experience in distributed computing frameworks, especially Apache Spark and distributed TensorFlow. </li><li>Excellent academic or industrial track record. </li><li>Knowledge of the latest Machine Learning/Data Science technologies. </li></ul></div><div> Employees at all levels are expected to:</div></div><ul><li>Understand our Operating Principles; make them the guidelines for how you do your job.</li><li>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.</li><li>Know your stuff - be enthusiastic learners, users and advocates of our game-changing technology, products and services, especially our digital tools and experiences.</li><li>Win as a team - make big things happen by working together and being open to new ideas.</li><li>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.</li><li>Drive results and growth.</li><li>Respect and promote inclusion & diversity.</li><li>Do what's right for each other, our customers, investors and our communities.</li></ul>Disclaimer:<ul><li>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.</li></ul>Comcast is proud to be 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. Comcast will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law, including the Los Angeles Fair Chance Initiative for Hiring Ordinance and the San Francisco Fair Chance Ordinance.EducationMaster's DegreeWhile 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 Experience2-5 YearsSalary:National Pay Range: $90,125.88 USD-$211,232.52 USDComcast intends to offer the selected candidate base pay within this range, dependent on job-related, non-discriminatory factors such as experience. The application window is 30 days from the date job is posted, unless the number of applicants requires it to close sooner or later.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. 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. Thats 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 <a href="https://jobs.comcast.com/life-at-comcast/benefits">compensation and benefits summary </a>on our careers site for more details.

FreeWheel, a Comcast company, provides comprehensive ad platforms for publishers, advertisers, and media buyers. Powered by premium video content, robust data, and advanced technology, were making it easier for buyers and sellers to transact across all screens, data types, and sales channels. As a global company, we have offices in nine countries and can insert advertisements around the world.Job SummaryBeeswax enables automated media buying across the premium video and omnichannel advertising markets. A part of FreeWheel, our buy-side bidder solutions help advertisers and buyers transact with the programmatic ecosystem. Our core offerings Bidder-as-a-Service (BaaS) and the Beeswax DSP provide clients with agility, custom optimizations, and extensible APIs. We are looking for a Machine Learning Engineering with an in-depth working knowledge of the latest in Machine Learning/Data Science technologies and cloud platforms to join our Optimization team, which have three defining pillars: machine learning, software engineering, and machine learning operations (MLOps).In this role youll work on a wide range of computational challenges such as: user response prediction and bidding optimisation, forecasting, incrementality, bidding models, delivery optimization and more. We practice an effective data science process that recognizes the uncertainty in explorations for ML solutions but also emphasizes an agile software engineering workflow. We use the most popular tools in the Python data science ecosystem and embrace innovation.Job DescriptionCore Responsibilities<ul><li>Contribute to both software engineering and machine learning sides of projects.</li><li>Implements, refines and validates machine learning algorithms for products and applications.</li><li>Takes action on existing specifications of designs and develops data pipelines consisting of data ingest, data validation, data cleaning and data monitoring.</li><li>Trains machine learning models, validates the accuracy of the machine learning models once trained and deploys validated machine learning models into production.</li><li>Researches, writes and edits documentation and technical requirements, including evaluation plans, confluence pages, white papers, presentations, test results, technical manuals, formal recommendations and reports. Contributes to the company by creating patents, Application Programming Interfaces (APIs) and other intellectual property.</li><li>Tests and evaluates solutions presented to the Company by various internal and external partners and vendors. Completes case studies, testing and reporting.</li><li>Designs proof of concept solutions and contributes to studies to support future product or application development.</li><li>Collaborates with teams outside of immediate work group. Represents the work team in providing solutions to technical issues associated with assigned projects.</li><li>Provides guidance and leadership to more junior engineers.</li><li>Consistent exercise of independent judgment and discretion in matters of significance.</li><li>Regular, consistent and punctual attendance. Must be able to work nights and weekends, variable schedule(s) and overtime as necessary.</li><li>Other duties and responsibilities as assigned.</li></ul><div><div>Required:</div><div><ul><li>MS or above in a STEM (science, technology, engineering, mathematics) subject. </li><li>2+ years of demonstrable experience with machine learning/data science. </li><li>Proficient in Python and SQL; experience with one of C++/golang/Java. </li><li>Good understanding of engineering best practices, for example agile (in Data Science) and version control. </li><li>Effective collaboration with Product, Commercial and Engineering teams. </li></ul></div><div>Desired:</div><div><ul><li>Practical experience with MLOps tools like model server, feature store, and a/b testing system. </li><li>Practical experience in distributed computing frameworks, especially Apache Spark and distributed TensorFlow. </li><li>Excellent academic or industrial track record. </li><li>Knowledge of the latest Machine Learning/Data Science technologies. </li></ul></div><div> Employees at all levels are expected to:</div></div><ul><li>Understand our Operating Principles; make them the guidelines for how you do your job.</li><li>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.</li><li>Know your stuff - be enthusiastic learners, users and advocates of our game-changing technology, products and services, especially our digital tools and experiences.</li><li>Win as a team - make big things happen by working together and being open to new ideas.</li><li>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.</li><li>Drive results and growth.</li><li>Respect and promote inclusion & diversity.</li><li>Do what's right for each other, our customers, investors and our communities.</li></ul>Disclaimer:<ul><li>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.</li></ul>Comcast is proud to be 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. Comcast will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law, including the Los Angeles Fair Chance Initiative for Hiring Ordinance and the San Francisco Fair Chance Ordinance.EducationMaster's DegreeWhile 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 Experience2-5 YearsSalary:National Pay Range: $90,125.88 USD-$211,232.52 USDComcast intends to offer the selected candidate base pay within this range, dependent on job-related, non-discriminatory factors such as experience. The application window is 30 days from the date job is posted, unless the number of applicants requires it to close sooner or later.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. 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. Thats 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 <a href="https://jobs.comcast.com/life-at-comcast/benefits">compensation and benefits summary </a>on our careers site for more details.

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Machine Learning Engineer Comcast Jobs

Machine Learning Engineer 3April 11, 2024

Sr Machine Learning EngineerApril 5, 2024

Sr Machine Learning EngineerApril 3, 2024

Sr Machine Learning EngineerMarch 28, 2024

Comcast Machine Learning Engineer CoopMarch 28, 2024

Sr Machine Learning EngineerMarch 27, 2024

Machine Learning Engineer 3March 19, 2024

Machine Learning Engineer 3March 18, 2024