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[Remote] Staff Software Engineer, Machine Learning (Computer Vision), Remote

Remote role Full-time Open position

Note The job is a remote job and is open to candidates in USA. DeepWalk is a fast-growing venture that helps cities keep people safe using computer vision to map and monitor their sidewalks. They are seeking a Staff Software Engineer to lead the technical direction of their computer vision platform for automated sidewalk inspection, focusing on large-scale imagery and production ML systems.

Responsibilities

  • 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 Skills
  • 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
  • Experience with large-scale or real-time data pipelines
  • Infrastructure-as-Code experience (Terraform, CDK, etc.)
  • ML observability, data validation, or model deployment experience
  • Familiarity with geospatial, imagery, or sensor-driven data
  • An interest in urban planning, accessibility, or civic technology Benefits
  • 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%) Company Overview
  • DeepWalk is a planning-level sidewalk inspection tool that uses iPhone LiDAR to inspect sidewalk conditions and identify access barriers. It was founded in 2018, and is headquartered in Chicago, Illinois, USA, with a workforce of 11-50 employees. Its website is https//www.deepwalk.com. Company H1B Sponsorship
  • DeepWalk has a track record of offering H1B sponsorships, with 1 in 2024. Please note that this does not guarantee sponsorship for this specific role. Apply tot his job Apply To this Job

Apply tot his job Apply To this Job

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