Machine Learning Engineer

Position Overview

• Employment Type: Full Time
• Description: Nielsen is seeking a Machine Learning Engineer to join the Engineering team and contribute to the development of Audience Measurement Engineering platforms. This role focuses on defining, developing, testing, analyzing, and delivering technology solutions within Nielsen’s Collections platforms, supporting television viewing measurement in over 30 countries. The successful candidate will be responsible for the entire lifecycle of ML services, including scalability, availability, monitoring, and latency optimization.

Requirements

• Bachelor’s degree in Computer Science or equivalent degree.
• 6+ years of software experience.
• Experience with Machine learning frameworks and models.
• Experience having led multiple projects leveraging LLMs, GenAI and Prompt Engineering.
• Exposure to real-world MLOps deploying models into production adding features to products.
• Strong understanding of LLMs, GenAI, Prompt Engineering and Copilot.
• Knowledge of working in a cloud environment.
• Comfort in Python and Java is highly desirable.

Responsibilities

• Fully own the services built with the ML Scientists, encompassing scalability, availability, metrics, alarms/alerts, and latency.
• Perform data quality checks and onboard data onto the cloud for modeling purposes.
• Engage in Prompt Engineering, feature work, evaluation, and data analysis.
• Design end-to-end AI solutions, considering latency tradeoffs and LLM inference optimization.
• Develop and maintain a Control Plane, Data Plate, and Platform Engineering components.
• Head the ML engineering for a pod and serve as the technical leader for all ML/AI Engineering issues within a delivery pod.

Application Instructions

• Please be aware that job-seekers may be at risk of targeting by scammers seeking personal data or money. Nielsen recruiters will only contact you through official job boards, LinkedIn, or email with a Nielsen.com domain.
• Be cautious of any outreach claiming to be from Nielsen via other messaging platforms or personal email addresses. Always verify that email communications come from an @nielsen.com address.
• If you're unsure about the authenticity of a job offer or communication, please contact Nielsen directly through our official website or verified social media channels.

Company Information

Nielsen is passionate about powering a better media future. They provide powerful insights that drive client decisions and deliver extraordinary results. They operate globally and are committed to excellence, perseverance, and ambition.