The posting
Augmodo is building the "operating system for the physical shelf" using spatial computing and wearable AI. We provide real-time, store-level insights that were previously impossible to capture. We are moving fast, and we need an applied engineer who combines real Computer Vision expertise with high-velocity front-end tooling to make complex spatial data instantly intuitive and highly actionable.
THE CHALLENGE
We are looking for a Software Engineer to own the end-to-end user interfaces, active learning agents, and visual tooling powering our Spatial Platform. This is not just a front-end tools role—it requires a real Computer Vision background. You will leverage your experience building and deploying shippable CV models to build pre-labeling agents, custom models for active learning, functional editors, and model-training environments.
Because you understand what it takes to train production-grade ML models, you know that high-quality data is everything. You will apply that knowledge directly to building optimized, intelligent annotation and curation tools for our internal researchers, algorithms, and external clients.
KEY RESPONSIBILITIES
- 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. We value high agency—shipping high-quality features in days, not months.
- Consumer-Facing Simplicity: Translate complex, multi-layered spatial and ML outputs into simple, intuitive visual workflows for non-technical users.
BASIC REQUIREMENTS
- Computer Vision Background: Hands-on experience building, training, and deploying real-world CV models to production. You understand end-to-end model lifecycles and know what "high-quality data" actually looks like.
- 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.
BONUS POINTS
- Autonomous Systems / Spatial Data: Prior experience in self-driving data curation pipelines, spatial mapping, LIDAR, or 3D bounding workflows.
- Retail/Logistics Domain: Experience handling SKUs, physical inventory maps, visual shelf data, or complex product catalogs.
- 3D/Spatial Web Tech: Familiarity with Three.js, WebGL, or GIS libraries for rendering spatial metadata.
Augmodo offers benefits inclusive of medical, dental, vision, and 401k. The salary range for this role is $150,000 USD - $190,000 USD +equity
Augmodo is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, or disability status.
