Machine Learning Engineer 3

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

The following information aims to provide potential candidates with a better understanding of the requirements for this role.

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 Engineer with an in-depth working knowledge of the latest in Machine Learning / Data Science technologies and cloud platforms to join our Optimization team, which has 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 optimization, 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

• Contribute to both software engineering and machine learning sides of projects.
• Implement, refine, and validate machine learning algorithms for products and applications.
• Take action on existing specifications of designs and develop data pipelines consisting of data ingest, data validation, data cleaning, and data monitoring.
• Train machine learning models, validate the accuracy of the machine learning models once trained, and deploy validated machine learning models into production.
• Research, write, and edit documentation and technical requirements, including evaluation plans, confluence pages, white papers, presentations, test results, technical manuals, formal recommendations, and reports.

Contribute to the company by creating patents, Application Programming Interfaces (APIs), and other intellectual property.

• Test and evaluate solutions presented to the Company by various internal and external partners and vendors. Complete case studies, testing, and reporting.
• Design proof of concept solutions and contribute to studies to support future product or application development.
• Collaborate with teams outside of immediate work group. Represent the work team in providing solutions to technical issues associated with assigned projects.
• Provide 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.

Employees at all levels are expected to :

• Understand our Operating Principles; make them the guidelines for how you do your job.
• 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.
• Know your stuff - be enthusiastic learners, users, and advocates of our game-changing technology, products, and services, especially our digital tools and experiences.
• Win as a team - make big things happen by working together and being open to new ideas.
• 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.
• Drive results and growth.
• Respect and promote inclusion & diversity.
• Do what's right for each other, our customers, investors, and our communities.

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.

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.

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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