Machine Learning Engineer

Nielsen provides powerful insights that drive client decisions in media measurement, capturing audience engagement with content across multiple countries.
Machine Learning
Mid-Level Software Engineer
Hybrid
6+ years of experience
AI

Description For Machine Learning Engineer

Nielsen, a global leader in media measurement, is seeking a Machine Learning Engineer to join their Engineering team. The role focuses on developing and maintaining Nielsen's Audience Measurement Engineering platforms that support television viewing measurement across 30+ countries.

The ideal candidate will be responsible for creating technology solutions within Nielsen's Collections platforms, leveraging their expertise in machine learning frameworks, particularly PyTorch, and various programming languages including Python, Java, JavaScript, and Kotlin. They should possess strong statistical analysis skills and experience with big data technologies.

This position offers an opportunity to work with a dynamic team at the forefront of the media revolution, contributing to powerful insights that drive client decisions. The role combines technical expertise in machine learning with practical software development skills, making it ideal for someone who wants to impact how media consumption is measured globally.

The company provides a collaborative environment where innovation is encouraged, and professional growth is supported. Working in a hybrid setting, you'll be part of a team that values excellence, perseverance, and making a meaningful impact. Nielsen's commitment to powering a better media future makes this an exciting opportunity for someone passionate about combining machine learning with real-world applications in the media industry.

Last updated 12 days ago

Responsibilities For Machine Learning Engineer

  • Define, develop, test, analyze, and deliver technology solutions within Nielsen's Collections platforms
  • Follow best practices for software development and deployment
  • Build RESTful APIs
  • Write unit/integration tests including test automation

Requirements For Machine Learning Engineer

Python
Java
JavaScript
React
Kotlin
  • Bachelor's degree in Computer Science or equivalent degree
  • 6+ years of software experience
  • Experience with Machine learning frameworks and models
  • PyTorch experience preferred
  • Strong understanding of statistical analysis and mathematical data manipulation
  • Experience with Java, Python, JavaScript, React/Redux, Kotlin
  • Understanding of relational database, big data, and experience in SQL
  • Proficient at using GIT, GitFlow, JIRA, Gitlab and Confluence
  • Strong analytical and problem solving skills
  • Experience in writing unit/integration tests including test automation
  • Strong testing and debugging abilities

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