Machine Learning Engineer

Nielsen, a global leader in media measurement and analytics, is seeking a Machine Learning Engineer to join their Engineering team. This role is crucial in supporting Nielsen's Audience Measurement Engineering platforms, which measure television viewing across more than 30 countries worldwide.

The ideal candidate will bring 6+ years of software experience with strong expertise in machine learning frameworks, particularly PyTorch. You'll be working with a diverse tech stack including Java, Python, JavaScript, React/Redux, and Kotlin, while leveraging your understanding of statistical analysis and mathematical data manipulation.

As a Machine Learning Engineer at Nielsen, you'll be responsible for defining, developing, testing, and delivering technology solutions within Nielsen's Collections platforms. The role requires strong proficiency in modern development tools and practices, including Git, JIRA, and various testing methodologies.

The position offers an opportunity to work with a dynamic team at the forefront of the media revolution, where your contributions will directly impact how audience engagement with content is measured and analyzed globally. Nielsen champions individual success and provides an environment where talented professionals can make a significant impact while working on cutting-edge technology solutions.

Working in a hybrid environment, you'll collaborate with teams to drive innovation and excellence in media measurement technology. This role is perfect for someone who is passionate about machine learning, has strong analytical skills, and wants to be part of shaping the future of media measurement and analytics.