Software Engineer, AI/ML Infrastructure at Glean in Mountain View, CA

Job Description

About this kind of role

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

Typically does: Designs, develops, and maintains the infrastructure that supports artificial intelligence and machine learning models. This includes building and optimizing data pipelines, model deployment systems, and scalable computing environments. They ensure the reliability, performance, and security of these systems, often working closely with data scientists and machine learning engineers. Responsibilities can also involve automating machine learning workflows and monitoring model health in production.

Tools and skills: Proficiency in programming languages like Python and Java, experience with cloud platforms such as AWS or Azure, and familiarity with containerization technologies like Docker and Kubernetes are common.

Good fit for: Individuals with a strong background in software engineering and a passion for enabling cutting-edge AI and machine learning applications thrive in this role.

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