Scale the backend for the AI that will edit all real estate photos on the internet. Lead a team of junior developers building AI editing models, new features, and a fast backend architecture.
We intend to 5X our daily photo editing volume in the coming months while decreasing the average time per photoshoot edited by 5x. You will own this:
Optimize, grow, and maintain our python/Kubernetes-based system orchestrating 20+ computer vision models with extreme reliability and speed (example daily task: optimize GPU memory usage to increase parallel inference capabilities in our GCP cluster to decrease processing time)
Design and implement new algorithms/models for image processing and editing throughout our photo sorting, detection, and editing pipeline.
Mentor junior developers building features and implementing new models/algorithms in the processing pipeline.
Requirements
Example: Built and scaled software for defect detection in a manufacturing process.
AutoHDR is the first AI real estate photo editor. Today we process 20,000 images each day; within the coming months we aim to edit more than 100,000 while cutting delivery time from 30 minutes per shoot to under 10. We are looking for an experienced backend engineer to scale the systems and work on complex models, algorithms, and features that make this growth possible while guiding a small team of developers.
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