Senior Software Engineer, Ads ML Infrastructure - USDS

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About this kind of role

What a Senior Software Engineer, Ads ML Infrastructure - USDS usually does. The employer's own details are in the listing.

Typically does: Designs, develops, tests, and maintains software solutions, often focusing on large-scale, high-performance systems. This role frequently involves building and optimizing machine learning infrastructure to support advertising platforms. Responsibilities can include improving data pipelines, developing model deployment tools, and ensuring the reliability and scalability of ad serving systems. Collaboration with data scientists and other engineers is a common aspect of the work.

Tools and skills: Proficiency in programming languages like Python or Java, experience with cloud platforms (e.g., AWS, Google Cloud, Azure), and familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch) are generally required, alongside strong database skills and knowledge of software engineering best practices.

Good fit for: Individuals with a strong background in software engineering and a passion for machine learning, particularly those who enjoy tackling complex technical challenges in a fast-paced environment, are a good match.