Lead architectural improvements for next-generation incremental data infrastructure, focusing on reducing system complexity and improving reliability. Design and build highly scalable systems, architecting distributed data processing pipelines that extract and transform massive datasets to power advertising serving systems. Drive software engineering best practices and system design while mentoring team members and ensuring production health.
Develop and scale frameworks that support artificial intelligence and machine learning workloads, including offline embedding generation and model inference. Partner with cross-functional teams to optimize how product and offer metadata is indexed and served with low latency.
Job description provided by Google.
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