About the Role:
As a Machine Learning Engineer, you will take a leading role in designing and building the end-to-end
systems that power intelligent products at Nielsen. You will own complex projects from conception to
deployment, making critical design and architectural decisions. This is a high-impact role for a hands-on
engineer who can handle ambiguity, mentor others, and deliver robust, scalable ML solutions.
Responsibilities:
• Own the complete lifecycle of machine learning systems, including problem formulation, data
pipeline design, model development, deployment, and monitoring.
• Make key architectural and design decisions to ensure our ML systems are scalable, reliable, and
efficient.
• Navigate project requirements, creating clear plans of action and defining technical roadmaps.
• Optimize complex data pipelines and ML models for performance.
• Mentor junior engineers on the team, fostering their growth and ensuring high technical
standards.
• Act as the technical point of contact for your projects, managing communication with product
managers and other stakeholders.
• Cultivate a team environment focused on continuous learning, where innovative audience
measurement methodologies are developed and refined through collaborative effort