Computer Vision / Machine Learning Engineer (Edge Perception)
Part-time, equity-only (0.25%–1.0%) computer vision role at a Peoria, Illinois startup building retail inventory-tracking software. The engineer builds and improves CV/ML models for product recognition and tracking, deploys them on edge AI hardware, and handles challenges like occlusion, multi-camera views, and lighting changes, using Python and a modern deep learning framework.
- Compensation
- Not disclosed
- Location
- Peoria
- Work setup
- Not specified
- Seniority
- Not specified
- Employment
- Part time
- Experience
- Not specified
- Category
- Ml / AI
- Posted
Skills
Must have
- Demonstrated experience building computer vision or machine learning systems
- Strong Python skills and experience with a modern deep learning framework
- Experience deploying models on edge or embedded hardware
- Clear communication, reliable documentation, and ability to collaborate on a small team
Nice to have
- Multi-camera systems or object tracking experience
- Retail, inventory, or supply-chain application experience
- Early-stage startup development experience
Full description
Compensation: 0.25% – 1.0%
Part-time | Equity-based | No cash salary at this stage
About Aethreallegence
Aethreallegence Enterprise LLC is a Peoria, Illinois startup developing Inventory Cognition Infrastructure to help physical retailers keep inventory records aligned with what is actually in the store. The State of Illinois awarded us a $74,961.70 Illinois Innovation Voucher for a twelve-month research and development project. Aethreallegence Enterprise LLC has entered into a sponsored applied research agreement with Bradley University for an Illinois Innovation Voucher project. We are patent pending, members of NVIDIA’s Inception program, and built without venture capital.
The opportunity
Inventory records can drift from what is physically present between counts. We call this Inventory Truth Decay. We’re looking for a computer vision engineer to help develop, test and improve software that addresses this problem.
What you’ll do
Build and improve computer vision models for recognizing and tracking products.
Deploy and evaluate models on edge AI hardware.
Address occlusion, multiple camera views, changing lighting and visually similar products.
Define evaluation metrics, document failure cases and communicate limitations clearly.
Collaborate with our lead architect and support data and evaluation work for the university research project.
Maintain clear technical documentation and reproducible development workflows.
What we’re looking for
Demonstrated experience building computer vision or machine learning systems.
Strong Python skills and experience with a modern deep learning framework.
Experience deploying models on edge or embedded hardware.
Clear communication, reliable documentation and the ability to collaborate on a small team.
Helpful experience
Multi-camera systems or object tracking.
Retail, inventory or supply-chain applications.
Early-stage startup development.
Compensation
This is an equity-based opportunity with no cash salary at this stage. This role is separate from the voucher-funded university research positions.