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. Salary:National Pay Range: $89,422.08 USD-$209,583.00 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. 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. 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. 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 Years

FreeWheel, a Comcast company, provides comprehensive ad platforms for publishers, advertisers, and media buyers. Powered by premium video content, robust data, and advanced technology, we’re 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 Summary Beeswax 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 you’ll 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 Description Core 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> Required: <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> Desired: <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>   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. 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. Salary: National Pay Range: $89,422.08 USD-$209,583.00 USD Comcast 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. 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 Master'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

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Machine Learning Engineer Jobs in Erie, PA

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