Diffusely (formerly Meero) is an AI media enhancement company that leverages its cutting-edge media processing platform to develop tailored products for specific verticals (Fashion, Automotive, Real Estate..)

By creating and seamlessly incorporating state-of-the-art AI models, Diffusely empowers businesses to elevate their visual assets at scale, boosting engagement and conversion.

At CarCutter, we're redefining automotive sales with AI-driven image technology that helps dealerships and marketplaces sell more cars faster. We provide a cutting-edge SaaS solution trusted by the industry’s top players.

Diffusely / CarCutter

CarCutter is the global #1 visual AI editing and optimisation solution for the automotive industry and is used by customers from all around the world. Due to our steady growth we are now expanding our passionate & motivated CarCutter team (about 30 people) in Graz Austria, who is part of Meero: the world expert in image quality, providing the best end-to-end visual content solutions for online sellers. We are looking for a new talent working from our office in Graz or fully-remote within other locations in Austria.

We develop and use a variety of computer vision methods like image classification, object detection, very precise segmentation/matting, surface/pose estimation, inpainting (e.g. with GANs) and 3D scene generation.

Your main task is to develop deep learning models and CV algorithms for our products (on mobile devices and servers).

Your profile

• At least 3 years of professional working experience in Computer Vision
• Experience in classic methods (2D and 3D image processing) for performance-critical applications
• Proficiency with at least two industry-standard programming languages (C++, Python, Rust, shaders …) and frameworks (OpenCV, OpenGL, CUDA, …)
  Skills in algorithm design, implementation, and machine-level optimization
• Familiarity with development on Linux
• Nice to have: experience in combining classical and deep learning approaches for computer vision solutions
• Teamplayer with proactive approach and high sensibility for quality