Machine Learning Engineer 1

Comcast Corporation; New York (NY); On-site; USD 107,000 - 160,000; Full time

Job summary

FreeWheel, a Comcast company, seeks a Machine Learning Engineer 1 in New York, NY to design, develop, and maintain backend and ML applications for FreeWheel Buyer Cloud. The onsite role centers on producing production-ready systems across cloud infrastructure using Python and DevOps tooling.

You will build backend services in Python, manage code with Git, and orchestrate containers with Kubernetes on AWS. You’ll work with SQL, Snowflake, Databricks, and Spark to set up data services, use

Qualifications

• Python programming proficiency for software development, data processing, and machine learning applications.
• Strong knowledge of algorithms and data structures with solid problem-solving skills.
• Excellent collaboration and communication across cross-functional teams including software engineers, data scientists, and product managers.

Responsibilities

• Design, develop, and maintain backend 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 Apache Spark 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.
• Collaborate with project stakeholders to identify requirements and mentor junior engineers, while documenting development activity.

Skills

Python programming

Algorithms and data structures

Collaboration and communication

Education

Bachelor's Degree

Tools

Kubernetes

AWS

Terraform

Jenkins

GitHub

ArgoCD

Prometheus

Grafana

Snowflake

Databricks

Apache Spark

Job description

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.