Machine Learning Engineer

Position Overview

• Location Type: [Not Specified]
• Employment Type: Full Time
• Salary: [Not Specified]

Nielsen is seeking a Machine Learning Engineer to join the Engineering team and contribute to the development of Nielsen’s Audience Measurement Engineering platforms. These platforms support the measurement of television viewing in over 30 countries. The successful candidate will be responsible for defining, developing, testing, analyzing, and delivering technology solutions within these platforms. Nielsen is passionate about powering a better media future and providing powerful insights to drive client decisions.

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 that are built with the ML Scientists, including scalability, availability, metrics, and alerts.
• Responsible for the latency of the services.
• Data quality checks and onboarding data to the cloud for modeling purposes.
• Prompt Engineering, including evaluation and data analysis.
• End-to-end AI Solution architecture, considering latency tradeoffs and LLM Inference Optimization.
• Design and implement a Control Plane, Data Plate, and Platform Engineering strategy.
• Head the ML engineering for a pod and be the technical leader for all ML/AI Engineering issues in 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 dedicated to capturing audience engagement with content - wherever and whenever it’s consumed. We are rooted in our legacy as we stand at the forefront of the media revolution. We champion you, because when you succeed, we do too. We enable your best to power our future.