Nielsen
Nielsen shapes the world’s media and content as a global leader in audience insights, data and analytics. Through our understanding of people and their behaviors across all channels and platforms, we empower our clients with independent and actionable intelligence so they can connect and engage with their audiences—now and into the future. Nielsen operates around the world in more than 55 countries. Learn more at http://nlsn.co/6006JMfty and connect with us on social media (LinkedIn, Twitter, Facebook and Instagram).
Open Positions at Nielsen
9 open positions
Member Technical Staff II will lead hands-on backend development, architecture, reliability, and technical delivery for production services. The role also collaborates with UI engineers and contributes to integrations, operational improvements, and informal mentoring.
Build and deploy production machine learning models and end-to-end ML pipelines as an AI/ML Engineer II. The role combines hands-on model development with AWS infrastructure management and modern AI applications.
Architect and build scalable, reliable metadata software platforms while setting engineering standards and guiding technology direction across teams. This hands-on technical leadership role combines enterprise application development, cross-system integration, and mentorship.
Join Nielsen as a Member Technical Staff II developing scalable data platforms, pipelines, and backend services for media and metadata solutions. The role combines large-scale data engineering, real-time processing, distributed systems, and platform reliability.
Senior QA Engineer responsible for end-to-end quality ownership across mobile, TV/CTV, web, backend services, and large-scale data pipelines. The role combines hands-on test automation, manual validation, data correctness testing, and cross-functional defect resolution.
Lead the design and scaling of production machine learning systems across text and image modalities, with a focus on inference backends, ML lifecycle automation, and model optimization. This hands-on technical leadership role combines deep ML infrastructure work with mentoring and end-to-end ownership.
Lead the design, development, and scaling of Java backend applications and data pipelines for Gracenote’s global video metadata platform. The role combines hands-on software architecture with technical leadership, mentoring, and modernization of legacy systems.
Senior Member Technical Staff architecting high-scale data pipelines, document-processing systems, and cloud-native microservices with Python, Java, AWS, Kafka, and AI technologies. The role provides technical leadership and mentorship while solving complex distributed-systems challenges.
Build and own end-to-end machine learning systems that power Nielsen’s intelligent audience-measurement products. This hands-on role combines ML architecture, production deployment, data pipelines, mentoring, and technical leadership.