Staff Machine Learning Engineer
Description For Staff Machine Learning Engineer
Nielsen, a global leader in media measurement, is seeking a Staff Machine Learning Engineer to join their Engineering team. This role is crucial in powering Nielsen's mission to deliver better media future through powerful insights. The position involves leading ML engineering initiatives within Nielsen's Audience Measurement Engineering platforms, which support television viewing measurement across 30+ countries.
The ideal candidate will be at the forefront of implementing cutting-edge ML solutions, working with technologies like LLMs, GenAI, and handling prompt engineering. They will be responsible for the end-to-end ownership of ML services, from architecture to production deployment, ensuring optimal performance, scalability, and reliability.
This role offers an exciting opportunity to work with a dynamic team committed to excellence, where you'll lead technical aspects of ML/AI engineering in a delivery pod. The position requires strong expertise in Python and Java, along with deep understanding of ML frameworks and cloud environments. You'll be instrumental in shaping Nielsen's ML infrastructure while working with state-of-the-art technologies in media measurement.
Join Nielsen to be part of a company that champions individual success and enables its talent to power the future of media measurement. You'll work in a hybrid environment that combines the flexibility of remote work with collaborative in-person interactions, all while contributing to solutions that impact media measurement globally.
Responsibilities For Staff Machine Learning Engineer
- Fully own services built with ML Scientists including scalability, availability, metrics, and alarms/alerts
- Be responsible for service latency
- Perform data quality checks & onboarding data to cloud for modeling
- Handle Prompt Engineering, FT work, Evaluation, Data
- Manage End-end AI Solution architecture, latency tradeoffs, LLM Inference Optimization
- Lead ML engineering for a pod and be the technical leader for all ML/AI Engineering issues
Requirements For Staff Machine Learning Engineer
- Bachelor's degree in Computer Science or equivalent degree
- Experience having led multiple projects leveraging LLMs, GenAI and Prompt Engineering
- Exposure to real-world MLOps deploying models into production
- Knowledge of working in a cloud environment
- Strong understanding of LLMs, GenAI, Prompt Engineering and Copilot
- Comfort in Python and Java is highly desirable
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