Pillow / PIL Jobs in Computer Vision
Browse CV roles that require Pillow / PIL across all industries and experience levels.
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What is Pillow / PIL?
Pillow, the maintained fork of the Python Imaging Library, handles image file I/O, format conversion, basic manipulation and drawing. It is the standard entry point for reading and writing images in Python and appears throughout data pipelines and web backends.
Where Pillow / PIL is used
Ubiquitous in data preprocessing and web services that accept image uploads, rather than in the vision algorithms themselves.
Roles that ask for Pillow / PIL
- Machine Learning Engineer
- Backend Engineer
- Data Engineer
- Computer Vision Engineer
- Python Developer
Related skills & tools
Pillow / PIL jobs — common questions
When should I use Pillow rather than OpenCV?
Pillow is better for file format handling, EXIF metadata, colour profiles and simple manipulation. OpenCV is better for anything algorithmic. Many pipelines use Pillow to load and OpenCV or PyTorch to process.
Is Pillow a meaningful CV skill?
On its own, no — it is assumed background for anyone working in Python. It matters as part of a broader data pipeline skill set, particularly around handling messy real-world image files correctly.
What are the common pitfalls?
Channel order differences with OpenCV, silently ignored EXIF orientation, colour profile handling, and memory use when decoding very large images. These cause a surprising number of production bugs.