Research image processing in Toronto using mathematical analysis, prototyping, and literature review for Fog Panther’s Linux editor. This is an on-site role. Fog Panther seeks an engineer for research-leaning imaging work within a very small team. You will assess denoising, sharpening, segmentation, inpainting, colour, and related methods. The work combines linear algebra, signal processing, numerical methods, Python, and image processing. You will evaluate whether published techniques hold up on real images before production implementation. Key Responsibilities:
Survey literature across image processing and computer vision areas Reproduce published results and report failure cases honestly Develop or adapt algorithms when existing methods do not fit Build prototypes using Python, NumPy, SciPy, or comparable tools Document derivations, comparisons, evaluations, and algorithm decisions Requirements:
Foundation in linear algebra, signal processing, numerical methods, and optimisation Image processing or computer vision background Track record developing working prototypes independently Python scientific-stack fluency or comparable Julia or MATLAB experience Reading-level comfort with C or C++ Apply research discipline, mathematical reasoning, and prototype-driven image processing to Fog Panther’s native Linux desktop editor in Toronto.
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Research Image Processing Engineer in Toronto employer: Fog Panther
At Fog Panther, we pride ourselves on being an excellent employer by fostering a collaborative and innovative work culture within our small team in Toronto. Our QA Engineer role offers the opportunity to engage directly with design and engineering, ensuring that your insights shape the product while enjoying competitive compensation and a flexible start date. We value methodical problem-solving and provide ample opportunities for professional growth, making it a rewarding environment for those passionate about quality assurance in creative software.
