Develop and test new ranking algorithms and model features. Analyze experiment results to measure impact and guide improvements. Collaborate with other engineers and researchers to implement new ideas. Contribute to the quality and reliability of the ranking systems. Explore new techniques to advance content understanding and personalization. AI fluency is an expectation in this role. Be prepared to discuss your knowledge and use of AI tools during the hiring process. Design and implement recommendation systems models across different domains, leverage ML infrastructure, and contribute to architecture design.
Job description provided by Google.
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