DeepWalk

• Own the lifecycle of our computer vision models, including training, evaluation, deployment, and iteration • Improve model performance in real-world conditions (noise, edge cases, data drift) • Design and improve data pipelines that process thousands of miles of sidewalks and millions of images • Lead architectural decisions for handling hundreds of terabytes of geospatial and visual data, including storage layout, pipeline reliability, and inference performance • Set and evolve best practices around deployment, observability, system reliability, and scalability • Act as a senior individual contributor and mentor, helping raise the technical bar across the engineering team • Work closely with the CEO and operations team to turn business needs into clear technical priorities