Software Engineer – CV Tooling

Augmodo

Software Engineer developing Computer Vision capabilities for Augmodo's Spatial Platform. Focusing on interactive front-end tools and model training for spatial data.

Posted 7/30/2026full-timeRemote • 🇺🇸 United StatesMid-LevelSenior💰 $150,000 - $190,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and deploying computer vision models, with a strong focus on tooling and automation for data curation and annotation. Proficient in full-stack development using React, TypeScript, and Python, with a commitment to high-velocity execution and user-friendly design.

Highest-signal resume keywords

Computer Vision Model DevelopmentFull-Stack Development with React and TypeScriptPython Proficiency (PyTorch/TensorFlow, OpenCV)Human-in-the-Loop SystemsHigh-Velocity Execution

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Computer VisionModel TrainingModel DeploymentReactTypeScriptPythonPyTorchTensorFlowOpenCVAnnotation Tools

Soft Skills

Action-OrientedHigh-Velocity Execution

Tools & Technologies

CursorCopilot

Industry Keywords

Data CurationAnnotation SystemsActive LearningSpatial InterfacesPlanogram Design

Tech Stack

Tools & technologies

PythonPyTorchReactTensorflowTypeScript

About the role

Key responsibilities & impact

Applied CV for Tooling & Automation: Train and integrate lightweight, custom CV models, active learning workflows, and pre-labeling agents specifically designed to accelerate human annotation and data quality control.
Data Curation & Annotation Systems: Build robust internal QC, mapping, and annotation platforms (akin to autonomous vehicle curation pipelines) backed by an intimate understanding of CV data quality and edge cases.
Spatial & Planogram Interfaces: Design high-performance front-end interfaces that map raw product images and computer vision metadata directly to physical coordinates on digital retail planograms.
High-Velocity Iteration: Build functional editors, POCs, and pre-labeling pipelines rapidly to support active model development.
Consumer-Facing Simplicity: Translate complex, multi-layered spatial and ML outputs into simple, intuitive visual workflows for non-technical users.

Requirements

What you’ll need

Computer Vision Background: Hands-on experience building, training, and deploying real-world CV models to production.
Full-Stack Tooling: Strong expertise in React and TypeScript for interactive front-end tools, combined with deep capability in Python (PyTorch/TensorFlow, OpenCV) for the backend model integration.
Tooling & Human-in-the-Loop (HITL) Focus: Demonstrated track record building functional editors, canvas-based systems, active learning loops, or annotation tools powered by embedded ML/CV.
Bias for Action: High-velocity execution style. You are action-oriented, love leveraging modern AI tools (Cursor, Copilot, etc.), and prioritize getting working tools into researchers' hands fast.

Benefits

Comp & perks

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