Senior Machine Learning Engineer (Remote)

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Zencastr is hiring a remote Senior Machine Learning Engineer to build end-to-end AI systems, core microservices, and ML infrastructure that improve the podcast creation experience. The role focuses on designing and shipping large-scale machine learning applications across audio and text, collaborating with research scientists, data scientists, and engineers on production ML systems. Key requirements called out in the official posting include 5+ years of Python experience, machine learning research and deployment experience, hands-on use of PyTorch, TensorFlow, and Scikit-Learn, plus cloud experience with Google Cloud, AWS, or Modal. Bonus signals include speech processing, MongoDB or SQL, testing, API development, Docker, and Kubernetes.