Top Hybrid Machine Learning Jobs in Seattle, WA

As a Machine Learning Engineer II, you will design and deploy advanced AI solutions for HR, mentor junior team members, and ensure the scalability and business alignment of AI products. Responsibilities include unstructured data analysis, collaborating with data scientists, productionizing research, and monitoring AI models.

The Applied AI Scientist at ZS develops algorithms for large data sets, executes statistical techniques, evaluates emerging datasets, and contributes to thought leadership by researching and publishing evolving topics.

In this role, you will develop and maintain machine learning algorithms for personalization on Hulu's platforms. You'll work with engineering and product teams to optimize processes and explore innovative methods for recommendations. Your responsibilities include algorithm development, feature engineering, maintaining deployment standards, and collaborating on new personalization opportunities.