Staff Software Engineer, ML Infra, Autonomy

About this kind of role

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

Typically does: Designs, develops, tests, and maintains software and infrastructure components supporting machine learning models. This often includes building tools for data processing, model training, and deployment, as well as ensuring the reliability and scalability of machine learning systems. Responsibilities can also involve collaborating with machine learning scientists and other engineers to optimize workflows and improve performance. A focus on automation and infrastructure as code is common.

Tools and skills: Proficiency in programming languages like Python and Java, experience with cloud platforms such as AWS or Google Cloud, and familiarity with DevOps practices, containerization technologies (Docker, Kubernetes), and machine learning frameworks are generally expected.

Good fit for: Individuals with a strong software engineering background and a passion for enabling machine learning innovation through robust and scalable infrastructure thrive in this role.