In this role at Databricks, you will be part of the ML/AI Environments team, focusing on building infrastructure that enables AI researchers and engineers to set up training and serving environments. You will work on enhancing the Databricks platform to improve user experience and performance for machine learning tasks. This position offers the opportunity to collaborate with various teams and interact with customers to drive feature development. Your contributions will help shape how developers and data scientists utilize AI on the Databricks platform.

• 5+ years of experience in backend or infrastructure engineering with a focus on building systems.
• Strong programming skills in Python, Scala, or Java.
• Experience with distributed systems, scalable APIs, or cloud-native infrastructure.
• Familiarity with service-oriented architecture, deployment pipelines, and system observability.
• Strong understanding of dependency management technologies including virtual environments or containerization technologies.

• Build the infrastructure that enables ML and AI users to configure training and serving environments easily, reliably, and reproducibly.
• Collaborate with other AI infrastructure teams to build the features that customers need to get more from the Databricks platform.
• Interact with turnkey customers and product managers to envision new features and identify areas for improvement.
• Shape how developers and data scientists build and interact with AI on Databricks.