Member of Technical Staff - 3 (ML)

Company Description

At Nielsen, we are passionate about our work to power a better media future for all people by providing powerful insights that drive client decisions and deliver extraordinary results. Our talented, global workforce is dedicated to capturing audience engagement with content - wherever and whenever it’s consumed. Together, we are proudly rooted in our deep legacy as we stand at the forefront of the media revolution. When you join Nielsen, you will join a dynamic team committed to excellence, perseverance, and the ambition to make an impact together. We champion you, because when you succeed, we do too. We enable your best to power our future.

Job Description

Nielsen is seeking an organized, detail-oriented, team player, to join the Engineering team in the role of Machine learning Engineer. Nielsen's Audience Measurement Engineering platforms support the measurement of television viewing in more than 30 countries around the world. The Software Engineer will be responsible for defining, developing, testing, analyze, and delivering technology solutions within Nielsen's Collections platforms.

Qualifications

• 
  Experience having led multiple projects leveraging LLMs, GenAI, and Prompt Engineering.
• Exposure to real-world MLOps deploying models into production adding features to products.
• Knowledge of working in a cloud environment.
• Strong understanding of LLMs, GenAI, Prompt Engineering, and Copilot.
• Bachelor's degree in Computer Science or equivalent degree.
• 4+ years of software experience Experience with Machine learning frameworks and models.
• The ML Engineer is expected to fully own the services that are built with the ML Scientists.
• This cuts across scalability, availability, having the metrics in place, alarms/alerts in place - and being responsible for the latency

of the services.

• Data quality checks & onboarding the data onto the cloud for modeling purposes.
• Prompt Engineering, FT work, Evaluation, Data.
• End-end AI Solution architecture, latency tradeoffs, LLM Inference Optimization, Control Plane, Data Plate, and Platform

Engineering.

• Comfort in Python and Java is highly desirable

Additional Information

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.