Sr. Staff Software Engineer, Product ML Infrastructure

About this kind of role

What a Sr. Staff Software Engineer, Product ML Infrastructure usually does. The employer's own details are in the listing.

Typically does: Designs, develops, and maintains infrastructure components that support machine learning products and workflows. This includes building scalable data pipelines, model deployment systems, and monitoring tools. They collaborate with machine learning engineers and product managers to understand requirements and translate them into robust, production-ready infrastructure. Focus is on ensuring reliability, efficiency, and security of the machine learning lifecycle.

Tools and skills: Proficiency in programming languages like Python or Java, experience with cloud platforms (AWS, Azure, or Google Cloud), and familiarity with containerization technologies (Docker, Kubernetes) are common. Knowledge of distributed systems, data engineering principles, and machine learning frameworks is also expected.

Good fit for: Individuals with strong software engineering fundamentals and a passion for building scalable, high-performance systems that enable machine learning innovation thrive in this role.