Senior Machine Learning Engineer - Hybrid (San Francisco or Austin) at Zendesk

You're a seasoned Machine Learning Engineer with at least three years of experience, a Bachelor's degree in a related field (advanced degrees preferred), and a solid grasp of deep learning, LLMs, and statistical modeling. **What makes it worth a look...** Zendesk is looking for someone to join their Enterprise Machine Learning team in San Francisco or Austin, offering a hybrid work arrangement with a compelling annual base salary range of $206,000 to $308,000. **You might be a good fit if you...** * Have hands-on experience with Python and building scalable ML systems end-to-end. * Are proficient with MLOps best practices, including CI/CD, containerization (Docker, Kubernetes), and observability. * Have worked extensively with cloud data platforms like AWS and data warehouses such as Snowflake. * Possess practical experience with LLMs and transformer architectures.