DeepWalk

Machine Learning Engineer

• 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

Staff Software Engineer, Machine Learning, Computer Vision