Machine Learning Engineer 1

FreeWheel, a Comcast company, provides comprehensive ad platforms for publishers, advertisers, and media buyers. We are looking for a Machine Learning Engineer 1 to help design, develop, and maintain backend and ML applications for FreeWheel Buyer Cloud using Python, cloud platforms, and modern infrastructure tools.

Core Responsibilities

• Design, develop, and maintain Optimization and Machine Learning applications for FreeWheel Buyer Cloud. This includes backend software development in Python, code management with Git, and container orchestration with Kubernetes across AWS and cloud-agnostic environments.
• Work with relational databases, write SQL queries, and use Snowflake, Databricks, and big data tools to set up, optimize, and troubleshoot infrastructure-level data services.
• Design and deploy infrastructure using IaC principles and Terraform, while building and managing CI/CD pipelines with Jenkins, GitHub, Kargo, and ArgoCD. Monitor service health via Prometheus and Grafana.
• Support applications under development, customize current applications, assist with software updates and release roll-outs, and analyze, test, and integrate new applications.
• Collaborate with project stakeholders to identify product and technical requirements, conduct integration analysis, work with the Quality Assurance team to ensure applications meet technical specifications, guide and mentor junior-level engineers, and document all development activity including software designs, evaluation plans, test results, technical manuals, and formal reports.
• Perform other duties and responsibilities as assigned.
• Exercise independent judgment and discretion in matters of significance on a consistent basis.
• Maintain regular, consistent, and punctual attendance. Must be able to work nights and weekends, and variable schedules as necessary.

Required Skills

• Python Programming: Proficiency in Python for software development, data processing, and machine learning applications.
• Algorithms & Data Structures: Strong understanding of algorithms, data structures, and computational problem-solving.
• Collaboration & Communication: Ability to work effectively within cross-functional teams, including software engineers, data scientists, product managers, and stakeholders.

Nice-to-Have Skills

• SQL and relational database querying.
• Big Data technologies and distributed computing.
• Kubernetes and container orchestration.
• Machine learning algorithms and model development.
• Apache Spark for large-scale data processing.
• Data science, statistics, and analytical techniques.

Employees at all levels are expected to:

• Understand our Operating Principles and 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.
• Support a culture of inclusion in how you work and lead.
• Do what's right for each other, our customers, investors, and our communities.

Disclaimer: This information is designed to indicate the general nature and level of work performed by employees in this role. It is not intended to be a comprehensive inventory of all duties, responsibilities, and qualifications.

Comcast is 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.