
11 - 50 employees
Founded 2018
☁️ SaaS
🏛️ Government
🤝 B2B
💰 $1.4M Seed Round - DeepWalk on 2023-05
SaaS • Government • B2B
DeepWalk is an automated sidewalk inspection platform that uses iPhone LiDAR and a mobile app to scan sidewalks and curb ramps, generating 3D models and automatic measurements. Its web application and ArcGIS integrations deliver centralized sidewalk data, PDF reports, and mapping files to help municipalities and consultants plan, inspect, analyze, and implement sidewalk and ADA transition projects. DeepWalk also provides phone rental, training, and partner resources to streamline field data collection and workflow integration.
🕒 April 30
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11 - 50 employees
Founded 2018
☁️ SaaS
🏛️ Government
🤝 B2B
💰 $1.4M Seed Round - DeepWalk on 2023-05
SaaS • Government • B2B
DeepWalk is an automated sidewalk inspection platform that uses iPhone LiDAR and a mobile app to scan sidewalks and curb ramps, generating 3D models and automatic measurements. Its web application and ArcGIS integrations deliver centralized sidewalk data, PDF reports, and mapping files to help municipalities and consultants plan, inspect, analyze, and implement sidewalk and ADA transition projects. DeepWalk also provides phone rental, training, and partner resources to streamline field data collection and workflow integration.
• 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
• 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.
• $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%)
Apply Now🕒 April 24
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