DeepWalk

Compensation

Full Description

Job Description: • 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 Requirements: • 6+ years of experience, including direct ownership of production ML or computer vision systems (training, deployment, and ongoing operation) • Experience taking models from training → production → monitoring → iteration in a real-world environment • Experience owning system architecture and influencing technical decisions across teams • Experience deploying computer vision or ML systems in real-world production environments • Fluency in at least one modern backend language (Python, Java, TypeScript, Go, etc.) • Strong understanding of system design, scalability, and distributed systems • Experience with cloud platforms such as AWS, GCP, or Azure • Comfort working in a startup or growth-stage environment with changing requirements. Benefits: • $150,000 – $190,000 base salary, based on scope and experience • Equity • Unlimited PTO (most of our team takes 3–4 weeks per year) • Health insurance • 401(k) with ~4% match (100% on first 3%, 50% on the next 2%)