We are a growing, innovative IT company based in Graz, Austria focusing on automated image and video analysis applications mainly targeting Life Science R&D in industry and academia. We are developing the IKOSA platform that consists of an online portal to manage and annotate data and an API to provide image analysis applications on-demand.
Founded in 2016 by physicist and entrepreneur DDr. Michael Mayrhofer-Reinhartshuber and computer scientist Dr. Philipp Kainz, KML VISION provides state-of-the-art solutions for automated image analysis based on latest advances in Artificial Intelligence and cloud computing with a special focus on Life Sciences. After several years in research regarding biomedical image analysis based on leading-edge technologies at several international universities, Michael Mayrhofer-Reinhartshuber and Philipp Kainz founded KML VISION in Graz, Austria, in 2016. The team worked on individual software projects to automate image analysis tasks for several customers in academia and industry until summer 2017.
Since then KML VISION is on its way to realize their visionary product aiming at eliminating repetitive and tedious manual tasks. The product is an integrated platform that enables an easy access and intuitive utilization of advanced tools. It is fast, accurate and reproducible, and always available from the internet. Their mission is to provide a framework for rapid integration of new, high-quality image analysis applications based on the latest state-of-the-art technology in computer vision and machine learning.
DIPL.-ING. DDR. MICHAEL MAYRHOFER-REINHARTSHUBER
Founder and CEO
Michael Mayrhofer-Reinhartshuber studied Technical Physics at Graz University of Technology. In 2014, he received his PhD in Experimental Physics and in 2015, he received his PhD in Medical Sciences from in the Medical University of Graz. After collecting international experience in Australia and Spain, he worked for a social media start-up and founded his first company in Graz. His main motivation is to let Life Sciences benefit from recent achievements in information technology in order to significantly contribute to a faster and more effective way of research, development and production.
Dr. Philipp Kainz, MSc
Founder and CTO
Philipp Kainz studied Health Care Engineering and eHealth at Graz University of Applied Sciences. In 2016, he received his PhD from the Medical University of Graz and did his PostDoc on Deep Learning in Medical Image Analysis with the Ludwig Boltzmann Institute for Clinical-Forensic Imaging in Graz. His main motivation and responsibilities are accelerating the transfer from technological breakthroughs to business cases and creating value by providing state-of-the-art technology based on Artificial Intelligence.
Software Development Trainee
Business Development Trainee
Computer Vision / Machine Learning Engineer
JOIN OUR TEAM!
At KML VISION, you will be working on exciting projects in an open and trustful environment. The team consists of highly motivated people who strive to create the best possible result for our customers.
With a strong scientific background, KML VISION is a thriving company, focusing on reducing the time until new achievements in digital image analysis can be used by anyone in an intuitive way.
Backend Application Developer m/f
We are looking for a flexible team player with experience in developing RESTful microservice APIs.
38,5 h // full-time // starting September 2018
FRONTEND SOFTWARE ENGINEER m/f
We are looking for a flexible team player who wants to contribute to our IKOSA image analysis portal.
full-time or part-time // starting September 2018
BUSINESS DevelopMENT / SALES ENGINEER m/f
You are excited about presenting our products, lead qualification and acquiring customers? Apply now!
38,5 h // full-time // starting October 2018
SALES REPRESENTATIVE, KEY ACCOUNT MANAGER M/F
We are looking for an authentic character with excellent communication skills and the willingness to act internationally.
38,5 h // fulltime
MARKETING ASSISTANT M/F
We are looking for a creative person who loves the challenge of presenting a high-tech topic in multiple media.
20 h // part-time