Top Hybrid Machine Learning Jobs in Los Angeles, CA

As a Machine Learning Engineer at ZS, you'll develop and maintain ML models, implement MLOps, scale algorithms for large datasets, and collaborate with teams to ensure high-quality deliverables. Your responsibilities include building model pipelines, writing production-ready code, and exploring new technologies to innovate AI solutions.

As an Applied AI Scientist at ZS, you will develop advanced algorithms for high-dimensional problems, execute statistical techniques on large datasets, evaluate emerging technologies, and contribute to the firm's thought leadership through research and publication.

As a Principal Machine Learning Engineer, you will lead the development of prediction or optimization engines for advertising platforms, driving innovation through AI and machine learning. Responsibilities include designing ad algorithm architecture, developing scalable data analysis methods, and collaborating with cross-functional teams.

As a Manager in the Machine Learning team, you will lead planning and coordination within sprints, build and maintain a machine learning platform, manage data pipelines, troubleshoot technical issues, and mentor team members.

The Senior Software Engineer will build a next-gen machine learning platform for advertising decisioning, develop scalable data analysis methods, collaborate with researchers, and advocate for best engineering practices.