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 Audience Measurement Engineering platforms that support television viewing measurement across 30+ countries. The position offers an opportunity to work at the forefront of media revolution, focusing on cutting-edge ML technologies including LLMs, GenAI, and Prompt Engineering.
The ideal candidate will lead ML engineering initiatives, working closely with ML Scientists to build and maintain robust ML services. You'll be responsible for the entire ML infrastructure, from scalability and availability to monitoring and optimization. The role requires expertise in both traditional software engineering and modern ML practices, with a focus on production-grade implementations.
As a Staff ML Engineer, you'll have the opportunity to work with state-of-the-art technologies while solving complex problems in media measurement. The position offers a blend of technical leadership and hands-on engineering, requiring both depth in ML technologies and breadth in software engineering practices. Nielsen's commitment to powering a better media future and its global reach make this an exciting opportunity for someone looking to make a significant impact in the media technology space.
The company culture emphasizes excellence, perseverance, and collaborative success, providing an environment where you can grow while contributing to meaningful projects that shape the future of media measurement.
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 purposes
- Handle Prompt Engineering, FT work, Evaluation, Data
- Manage end-to-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
- Handle Control Plane, Data Plate, Platform Engineering
Requirements For Staff Machine Learning Engineer
- Bachelor's degree in Computer Science or equivalent degree
- 8+ 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
- 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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