Machine Learning Engineer 3

$89,422 - $209,583/Yr

Comcast - Erie, PA

posted 4 months ago

Full-time - Mid Level
Erie, PA
Broadcasting and Content Providers

About the position

FreeWheel, a Comcast company, is at the forefront of providing comprehensive ad platforms for publishers, advertisers, and media buyers. Our mission is to simplify the transaction process across all screens, data types, and sales channels, leveraging premium video content, robust data, and advanced technology. As a global entity with offices in nine countries, we are dedicated to enhancing the advertising experience worldwide. We are currently seeking a Machine Learning Engineer to join our Optimization team, which is built on three core pillars: machine learning, software engineering, and machine learning operations (MLOps). This role is pivotal in addressing a variety of computational challenges, including user response prediction, bidding optimization, forecasting, incrementality, and delivery optimization. Our approach emphasizes an effective data science process that acknowledges the uncertainties inherent in exploring machine learning solutions while also adhering to an agile software engineering workflow. We utilize popular tools within the Python data science ecosystem and are committed to fostering innovation. In this position, you will contribute to both the software engineering and machine learning aspects of projects. You will implement, refine, and validate machine learning algorithms for our products and applications. Your responsibilities will include developing data pipelines for data ingest, validation, cleaning, and monitoring, as well as training and deploying machine learning models into production. You will also be involved in researching and documenting technical requirements, creating patents, and collaborating with various teams to provide solutions to technical issues. This role requires a consistent exercise of independent judgment and discretion, along with the ability to guide and lead junior engineers. Regular attendance and the ability to work nights, weekends, and overtime as necessary are also essential.

Responsibilities

  • Contribute to both software engineering and machine learning aspects of projects.
  • Implement, refine, and validate machine learning algorithms for products and applications.
  • Develop data pipelines for data ingest, validation, cleaning, and monitoring.
  • Train machine learning models and validate their accuracy before deployment.
  • Research, write, and edit documentation and technical requirements, including evaluation plans and reports.
  • Create patents, APIs, and other intellectual property for the company.
  • Test and evaluate solutions presented by internal and external partners and vendors.
  • Design proof of concept solutions and contribute to studies for future product development.
  • Collaborate with teams outside of the immediate work group to provide technical solutions.
  • Provide guidance and leadership to junior engineers.

Requirements

  • MS or above in a STEM subject (science, technology, engineering, mathematics).
  • 2+ years of demonstrable experience with machine learning/data science.
  • Proficient in Python and SQL; experience with one of C++/Golang/Java.
  • Good understanding of engineering best practices, including agile methodologies and version control.
  • Effective collaboration skills with Product, Commercial, and Engineering teams.

Nice-to-haves

  • Practical experience with MLOps tools like model servers, feature stores, and A/B testing systems.
  • Experience in distributed computing frameworks, especially Apache Spark and distributed TensorFlow.
  • Excellent academic or industrial track record in machine learning/data science technologies.

Benefits

  • Comprehensive health insurance coverage.
  • 401k retirement savings plan.
  • Paid time off and holidays.
  • Tuition reimbursement for further education.
  • Flexible scheduling options.
  • Employee discounts on products and services.
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