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The Staff Machine Learning Engineer will design, build and productionize machine learning models to tackle business challenges, collaborate with product managers and engineers, maintain high code quality, and research emerging technologies. They will also share knowledge through presentations and discussions.

The Senior MLOps Engineer will enhance the machine learning pipeline's efficiency, drive platform scaling, and implement robust MLOps frameworks. Responsibilities include optimizing processes, establishing CI/CD pipelines, collaborating with cross-functional teams, and troubleshooting production challenges to ensure seamless integration of AI solutions.

As a Staff Full-Stack Engineer, you will design, develop, test, and improve code for complex product features, focusing on customer impact. Collaborating with teams, you'll build scalable applications and mentor engineers on best practices.