Our Places Data Team ingests, ranks, and conflates large geospatial data-sets containing places information, photos, reviews, and more. We augment this data using powerful machine-learning techniques at scale. We take innovative approaches to address unique problems, using our years of geospatial knowledge, systems expertise, and product development experience.- Be responsible for the design and architecture of the Places data pipeline to enable rapid integration of various LLM and computer vision based machine learning solutions.- Seek opportunities and develop scalable algorithms for efficient, automated data generation and data curation, minimizing the need for manual corrections.- Mentor and advise junior as well as other senior coworkers through their explorations, including giving guidance on when to try something new.