Austin, Texas, United States

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

• 6-10+ years building and scaling complex backend systems
• Worked in a role overseeing high volume throughput of any kind

Example: Built and scaled software for defect detection in a manufacturing process.

• High agency problem solving skills with low to no guidance. If given an objective, you make it happen and delete obstacles.
• Extreme productivity and speed on all work you do. Your default assumption should be that large projects can be built and shipped on a daily/weekly timeframe.
• Obsessive focus on engineering excellence and delivering world class output for users.
• Willing to spend extreme amounts of time building AutoHDR to achieve our goal of editing all real estate photos
• Track record of mentoring and growing junior devs
• Expert-level proficiency/experience in Python (FastAPI), relational databases (MySQL), model training/deployment (optional) and Kubernetes (optional).