Machine Learning Engineer 1

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

FreeWheel, a Comcast company, provides comprehensive ad platforms for publishers, advertisers, and media buyers. We are seeking a Machine Learning Engineer 1 to contribute to the design, development, and maintenance of backend and ML applications for FreeWheel Buyer Cloud using Python, cloud platforms, and modern infrastructure tools.

Job Description

Core Responsibilities

• Design, develop, and maintain Optimization and Machine Learning applications for FreeWheel Buyer Cloud, developing back-end software using Python, managing code with Git, and performing container orchestration with Kubernetes across AWS and cloud-agnostic environments.
• Work with relational databases, write SQL queries, and leverage 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 using Jenkins, GitHub, Kargo, and ArgoCD, and monitoring 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 alongside the Quality Assurance team to ensure applications meet technical specifications, guide and mentor junior-level engineers, and thoroughly document all development activity-including software designs, evaluation plans, test results, technical manuals, and formal reports.
• Other duties and responsibilities as assigned.
• 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) 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; 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 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.

Skills

Algorithms, Collaboration, Python (Programming Language)

Compensation

New York Pay Range: $106,904.41 - $160,356.61Comcast 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.

Base pay is one part of the Total Rewards that Comcast provides to compensate and recognize employees for their work. Most sales positions are eligible for a Commission under the terms of an applicable plan, while most non-sales positions are eligible for a Bonus. 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

Bachelor'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.

Certifications (if applicable)

Relevant Work Experience

0-2 YearsComcast 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.