Manager, Machine Learning Engineering, Content Relevance
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About The Position
Snap Inc. is seeking a Machine Learning Engineering Manager to lead the Content Relevance team in Seattle, Washington. This role is pivotal in developing and optimizing our personalized video recommendation engine, which is a core component of our user engagement strategy. As a manager, you will oversee a team of machine learning engineers and software engineers, guiding them in the design and implementation of scalable, high-performance systems that enhance user experience on our platform. You will be responsible for defining the overall architecture of the content recommender system, ensuring it meets the demands of our growing user base while maintaining reliability and performance. In this position, you will drive rapid iteration of our machine learning models without compromising on quality. This involves close collaboration with infrastructure engineers to build robust machine learning infrastructure that supports the recommender system. You will also evaluate technical tradeoffs in key decision-making processes, conducting A/B testing and analyzing performance metrics to continuously improve the system. Your role will include performing design and code reviews to uphold technical excellence within the team. The ideal candidate will possess a deep understanding of machine learning approaches and algorithms, particularly as they apply to recommender systems. You should have experience in setting the direction for teams focused on developing online ranking and recommendation models. Strong management and mentorship skills are essential, as you will foster a collaborative and innovative team culture. Excellent communication skills, both verbal and written, are crucial for effectively collaborating with stakeholders at all levels, both internally and externally. You should also be proficient in managing and solving ambiguous problems, ensuring that your team can navigate challenges effectively.
