Machine Learning Engineer 3

at  Comcast Corporation

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.

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

• Contribute to both software engineering and machine learning sides of projects.
• Implements, refines and validates machine learning algorithms for products and applications.
• Takes action on existing specifications of designs and develops data pipelines consisting of data ingest, data validation, data cleaning and data monitoring.
• Trains machine learning models, validates the accuracy of the machine learning models once trained and deploys validated machine learning models into production.
• 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.
• Tests and evaluates solutions presented to the Company by various internal and external partners and vendors. Completes case studies, testing and reporting.
• Designs proof of concept solutions and contributes to studies to support future product or application development.
• Collaborates with teams outside of immediate work group. Represents the work team in providing solutions to technical issues associated with assigned projects.
• Provides guidance and leadership to more junior engineers.
• Consistent exercise of independent judgment and discretion in matters of significance.
• Regular, consistent and punctual attendance. Must be able to work nights and weekends, variable schedule(s) and overtime as necessary.
• Other duties and responsibilities as assigned.