Computer Vision Engineer – Smart Mask Generation for Photo Mood Filters

Role Overview

Join us to create an innovative photo editing experience that fuses creativity with intelligence. Our goal is to enable users to type a mood and see custom visual edits applied through dynamic segmentation masks. We are seeking a skilled Computer Vision Engineer to design and implement a heuristic-based system for generating radial and linear masks for local image adjustments, focusing on efficiency without the need for heavyweight models or full semantic segmentation.

Responsibilities

• Develop logic for generating binary masks (radial, linear) by analyzing spatial layout cues such as light sources, subject focus, and sky regions.
• Implement lightweight, real-time heuristics using tools like OpenCV and NumPy to detect visual patterns including sky, subject location, and symmetry.
• Create segmentation masks and associated parameter presets (e.g., exposure, highlights, temperature) for application on the UI side.
• Collaborate closely with frontend teams (web or mobile) to ensure mask metadata is intuitive and easily editable.

Required Skills

• Strong understanding of image processing fundamentals with tools like OpenCV and Pillow.
• Ability to write clean, testable Python code and effectively reason about geometry.
• Experience in designing heuristics and not solely relying on neural networks.
• Comfort with considering the UX implications of image layout decisions.
• Keen eye for how light, contrast, and spatial structure affect mood.

Nice to Have

• Experience with creative tools, photo editors, or filters.
• Basic knowledge of frontend development or WebAssembly.
• Interest in aesthetic photography or visual storytelling.