Staff Software Engineer (CV/ML)
DeepWalk
•
Chicago, IL
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0
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Not Applicable
Posted April 3, 2026
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Responsibilities
Commitments
Responsibilities
- Own the technical architecture of our computer vision and automated measurement platform, from data ingestion through production inference
- 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
- What Success Looks Like (First 3–6 Months)
- Build a strong understanding of our current computer vision systems and data pipelines
- Identify the biggest scaling, reliability, and maintainability gaps as we grow
- Propose and begin executing on a clear plan to improve how we deploy, monitor, and operate production ML systems
- Become a trusted technical partner to leadership
Commitments
Hybrid (Chicago)
Comfort working in a startup or growth-stage environment with changing requirements
Unlimited PTO (most of our team takes 3–4 weeks per year)
Convenient office location in The Loop
Hybrid work environment (typically 2 days in-office)
DeepWalk participates in the federal E-Verify program to confirm the employment eligibility of all newly hired employees.
Not Met Priorities
What still needs stronger evidence
Requirements
- Experience designing, deploying, and running production systems at scale
- 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
Preferred Skills
- 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
About DeepWalk
DeepWalk is a fast-growing venture that helps cities keep people safe using computer vision to map and monitor their sidewalks. We have ongoing contracts with cities, universities, and engineering firms.
Last year we processed thousands of miles of sidewalk across 20+ states. We’ve raised $4.1M, recently closed a $2.1M seed round led by Enable Ventures, and we currently generate 7-figure revenue helping communities across America.
Staff Software Engineer — Computer Vision Platform
$150,000 – $190,000 base salary + equity
Hybrid (Chicago)
We’re hiring a Staff Software Engineer to lead the technical direction of DeepWalk’s computer vision platform for automated sidewalk inspection. This role is focused on tackling high-impact, open-ended problems around large-scale imagery, production ML systems, and data pipelines that handle hundreds of terabytes of data.
You’ll play a key role in how we process, analyze, and deliver insights from millions of images, supporting cities as they work to build safer, more accessible infrastructure.
In this role, you’ll work closely with a handful of experienced engineers, help set technical direction, and establish patterns the team can scale with.
Our core stack today includes Python-based CV/ML systems running on AWS, with data pipelines and services designed to handle large volumes of imagery and geospatial data.
What You’ll Do
As a Staff Engineer at DeepWalk, you’ll have significant ownership over both the systems we build and how we build them. You will…
Own the technical architecture of our computer vision and automated measurement platform, from data ingestion through production inference
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
What Success Looks Like (First 3–6 Months)
Build a strong understanding of our current computer vision systems and data pipelines
Identify the biggest scaling, reliability, and maintainability gaps as we grow
Propose and begin executing on a clear plan to improve how we deploy, monitor, and operate production ML systems
Become a trusted technical partner to leadership
Required
What We’re Looking For
Experience designing, deploying, and running production systems at scale
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
Nice to Have
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
Compensation & 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%)
Convenient office location in The Loop
Hybrid work environment (typically 2 days in-office)
DeepWalk participates in the federal E-Verify program to confirm the employment eligibility of all newly hired employees.
DeepWalk is an Equal Opportunity Employer and is committed to building a diverse and inclusive workplace. We do not discriminate on the basis of race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, veteran status, or any other legally protected status.
In accordance with applicable laws, DeepWalk provides equal pay for equal work and complies with all federal, state, and local pay transparency and compensation requirements.
Compensation Range: $150K - $190K
DeepWalk is a fast-growing venture that helps cities keep people safe using computer vision to map and monitor their sidewalks. We have ongoing contracts with cities, universities, and engineering firms.
Last year we processed thousands of miles of sidewalk across 20+ states. We’ve raised $4.1M, recently closed a $2.1M seed round led by Enable Ventures, and we currently generate 7-figure revenue helping communities across America.
Staff Software Engineer — Computer Vision Platform
$150,000 – $190,000 base salary + equity
Hybrid (Chicago)
We’re hiring a Staff Software Engineer to lead the technical direction of DeepWalk’s computer vision platform for automated sidewalk inspection. This role is focused on tackling high-impact, open-ended problems around large-scale imagery, production ML systems, and data pipelines that handle hundreds of terabytes of data.
You’ll play a key role in how we process, analyze, and deliver insights from millions of images, supporting cities as they work to build safer, more accessible infrastructure.
In this role, you’ll work closely with a handful of experienced engineers, help set technical direction, and establish patterns the team can scale with.
Our core stack today includes Python-based CV/ML systems running on AWS, with data pipelines and services designed to handle large volumes of imagery and geospatial data.
What You’ll Do
As a Staff Engineer at DeepWalk, you’ll have significant ownership over both the systems we build and how we build them. You will…
Own the technical architecture of our computer vision and automated measurement platform, from data ingestion through production inference
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
What Success Looks Like (First 3–6 Months)
Build a strong understanding of our current computer vision systems and data pipelines
Identify the biggest scaling, reliability, and maintainability gaps as we grow
Propose and begin executing on a clear plan to improve how we deploy, monitor, and operate production ML systems
Become a trusted technical partner to leadership
Required
What We’re Looking For
Experience designing, deploying, and running production systems at scale
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
Nice to Have
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
Compensation & 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%)
Convenient office location in The Loop
Hybrid work environment (typically 2 days in-office)
DeepWalk participates in the federal E-Verify program to confirm the employment eligibility of all newly hired employees.
DeepWalk is an Equal Opportunity Employer and is committed to building a diverse and inclusive workplace. We do not discriminate on the basis of race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, veteran status, or any other legally protected status.
In accordance with applicable laws, DeepWalk provides equal pay for equal work and complies with all federal, state, and local pay transparency and compensation requirements.
Compensation Range: $150K - $190K