The role involves guiding technical development processes including requirements definition, design, implementation, and testing. The engineer will build and productionize AI solutions to support autonomous ride-hail operations. Responsibilities include developing machine learning data pipelines to analyze model performance metrics such as precision and recall. The position requires applying multimedia machine learning techniques like image recognition and video analysis to improve rider experiences. Additionally, the role involves using prompt engineering to train large language models for specific operational use cases. The engineer will collaborate cross-functionally with operations and remote assistance teams to address service challenges.

Candidates must possess a Bachelor of Science degree in Computer Science or equivalent practical experience. The role requires at least six years of experience in backend development and building machine learning data pipelines. Proficiency in Python or C++ is necessary for the position. Applicants should have a proven history of setting technical direction for engineering teams and managing projects that span multiple departments.