Machine Learning Engineer 1

FreeWheel, a Comcast company, is seeking a Machine Learning Engineer 1 in New York, NY to design, develop, and maintain backend and machine learning applications for FreeWheel Buyer Cloud. This onsite role focuses on building production-ready systems across cloud infrastructure and data services using Python and modern DevOps tooling.

Role overview

• Design, develop, and maintain Optimization and Machine Learning applications for FreeWheel Buyer Cloud.
• Build back-end software in Python, manage code with Git, and perform 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.
• Use IaC principles and Terraform to design and deploy infrastructure.
• Build and manage CI/CD pipelines using Jenkins, GitHub, Kargo, and ArgoCD, and monitor service health with Prometheus and Grafana.
• Support applications under development, customize existing applications, help with software updates and release roll-outs, and analyze, test, and integrate new applications.

Collaboration and delivery

• Collaborate with project stakeholders to identify product and technical requirements and conduct integration analysis.
• Work alongside the Quality Assurance team to ensure applications meet technical specifications.
• Guide and mentor junior-level engineers.
• Document development activity including software designs, evaluation plans, test results, technical manuals, and formal reports.
• Perform other duties and responsibilities as assigned.

Working expectations

• Exercise consistent independent judgment and discretion in matters of significance.
• Maintain regular, consistent, and punctual attendance.
• Be able to work nights and weekends, with variable schedules as necessary.

Required qualifications

• Python programming proficiency for software development, data processing, and machine learning applications.
• Algorithms and data structures with strong computational problem-solving skills.
• Collaboration and communication to work effectively across cross-functional teams, including software engineers, data scientists, and product managers.

Preferred 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.

Technology stack

• Python, Git, Kubernetes, AWS, SQL
• Snowflake, Databricks, Apache Spark
• Terraform, IaC, Jenkins, GitHub, Kargo, ArgoCD
• Prometheus, Grafana

Compensation and education

• Salary range: USD 106,904 to 160,356 per year
• Education: Bachelor’s Degree
• Location: New York, NY (onsite)

Employee principles

• Understand and follow the company’s Operating Principles.
• Own the customer experience and act in ways that put customers first.
• Know your stuff by learning, using, and advocating for technology, products, and services.
• Win as a team by collaborating and staying open to new ideas.
• Be active in the Net Promoter System through huddles, call backs, and helping elevate opportunities to improve for customers.
• Drive results and growth, and support a culture of inclusion.
• Do what’s right for customers, investors, and communities.

Disclaimer: This information is intended to describe the general nature and level of work for this role. It is not a comprehensive list of all duties, responsibilities, and qualifications.