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Staff Software Engineer - Machine Learning (Computer Vision)

DeepWalkChicago
Hybrid Full-time $150K/yr - $190K/yr

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Experience Level

Mid to Senior

Qualifications

Key ResponsibilitiesOversee the entire lifecycle of our computer vision models, encompassing training, evaluation, deployment, and continuous improvement. Enhance model accuracy and performance under real-world conditions, addressing challenges such as noise, edge cases, and data drift. Architect and refine data pipelines to efficiently process extensive sidewalk imagery. Make architectural choices regarding the management of substantial geospatial and visual data, ensuring optimal storage, reliability, and inference speed. Establish and iterate on best practices for deployment, observability, and model performance tracking.

About the job

Join DeepWalk as a Staff Software Engineer

At DeepWalk, we are pioneering advancements in computer vision to ensure safer and more accessible sidewalks across cities. Our innovative solutions are utilized by municipalities, educational institutions, and engineering firms to enhance public safety.

Over the past year, we have successfully processed thousands of miles of sidewalks across over 20 states, generating millions of labeled data points critical for real-world infrastructure planning. With a funding of $4.1M and a recent $2.1M seed round led by Enable Ventures, we are on a trajectory of significant growth, currently achieving seven-figure revenues and making a tangible impact in communities nationwide.

Your Role

As a Staff Software Engineer at DeepWalk, you will guide the technical strategy for our cutting-edge computer vision platform, focusing on automated sidewalk inspections. This role will challenge you to solve complex, high-stakes problems involving extensive imagery, production-grade ML systems, and robust data pipelines capable of handling hundreds of terabytes of data.

You will collaborate with a team of seasoned engineers, influence the technical direction, and help establish scalable practices that enhance our operational efficiency.

Our current tech stack comprises Python-based CV/ML systems on AWS, optimized for processing vast amounts of geospatial and visual data.

About DeepWalk

DeepWalk is at the forefront of harnessing computer vision technology to improve urban infrastructure, ensuring pedestrian safety across cities. With strategic partnerships and significant funding, we are transforming how communities monitor and maintain their public spaces.

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