Staff Software Engineer, AI/ML, ML Infrastructure, Search Ads

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About this kind of role

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

Typically does: This role focuses on building and maintaining the infrastructure that supports machine learning models, particularly those used in search advertising. Staff Software Engineers in this area design, develop, and deploy scalable and reliable systems for training, evaluating, and serving machine learning models. They often work on improving the efficiency and performance of these systems, ensuring they can handle large volumes of data and user requests. They may also collaborate with machine learning scientists and other engineers to integrate models into production environments.

Tools and skills: Proficiency in programming languages like Python and Java, experience with cloud platforms (such as AWS, Google Cloud, or Azure), and familiarity with machine learning frameworks (like TensorFlow or PyTorch) are commonly required.

Good fit for: Individuals with a strong background in software engineering and a passion for machine learning and its practical applications often thrive in this role.