ML Engineer II: Build Production ML & Data Pipelines

Comcast Technology Solutions; Sunnyvale (CA); On-site; USD 136,000 - 204,000; Full time

Job summary

FreeWheel, a Comcast company, seeks a Machine Learning Engineer 2 in Sunnyvale, CA (and NYC option). You will implement and refine ML algorithms for our ad tech products, train models, and deploy them to production.

Responsibilities include building data pipelines, maintaining data quality, documenting methods, contributing to patents and APIs, conducting case studies, and producing proof-of-concept research while collaborating with teams.

Qualifications

• Master's Degree: Computer and Information Science (Required).
• 2-5 Years Relevant Work Experience.

Responsibilities

• Implementing, refining, and validating machine learning algorithms tailored for company products and applications.
• Training machine learning models, validating accuracy, and deploying into production environments.
• Designing and developing data pipelines with ingestion, validation, cleaning, and monitoring.
• Researching and authoring documentation, white papers, tests, and formal recommendations.
• Innovating by contributing to patents, APIs, and other intellectual property.
• Testing and evaluating ML solutions from internal and external sources.
• Conducting case studies and compiling reports to inform testing strategies.
• Designing proof of concept solutions for future product development.

Skills

Algorithms

Collaboration

Computer Programming

Data Science

Education

Master's Degree: Computer and Information Science (Required)

Job description

FreeWheel, a Comcast company, seeks a Machine Learning Engineer 2 in Sunnyvale, CA (and NYC option). You will implement and refine ML algorithms for our ad tech products, train models, and deploy them to production.

Responsibilities include building data pipelines, maintaining data quality, documenting methods, contributing to patents and APIs, conducting case studies, and producing proof-of-concept research while collaborating with teams.