Career-Mover

Cupertino / Global

Senior ML Infrastructure Engineer Scalable ML & MLOps

Job Description

A leading technology firm in Cupertino is seeking engineers to develop scalable machine learning approaches for autonomous systems. Candidates should possess a strong background in ML modeling frameworks, GPU computing, and software engineering. Responsibilities include the integration of distributed ML systems, development tools for ML systems, and collaboration across teams. The role offers a competitive salary ranging from $170,700 to $300,200 along with benefits including medical coverage and stock options.

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Career-Mover

Senior ML Infrastructure Engineer Scalable ML & MLOps

Job Description

Similar Opportunities

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