Senior Computer Vision Researcher

Senior Computer Vision Researcher

Senior Computer Vision Researcher

Senior Computer Vision Researcher

Imagetwin

Informationsdienste

Wien

  • Verifizierte Job-Anzeige
  • Art der Anstellung: Vollzeit
  • 85.000 € (Unternehmensangabe)
  • Hybrid

Senior Computer Vision Researcher

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Über diesen Job

Intro

Standing on the shoulders of giants has never been more challenging because research is flooded with fabricated, plagiarized, and AI-generated images. At Imagetwin, our mission is to combat bad science by developing technology to detect image-related research problems. Our SaaS solution is already used by thousands of customers, including renowned publishers, universities, and researchers, to uphold the quality of their publications.

Join Imagetwin and build technology that exposes fraud, safeguards research, and restores trust in science.

Tasks

  • Get hands-on with computer vision tasks, such as detecting AI-generated images, recognizing manipulated images, or finding plagiarized images in a haystack of millions.
  • In the first year, your focus is on conducting hands-on research and building your own research team. As the team grows, you will transition into managing the team.
  • Turn your research results into a polished product that benefits thousands of customers.

Requirements

  • Research expert in machine learning, computer vision, and image processing.
  • Desire to build, grow, and manage a collaborative team to tackle challenging computer vision tasks.

Benefits

  • Gross salary of 85,000 EUR, with potential overpayment based on qualifications.
  • Equity is another major component of your compensation—we’re offering not just a job, but a stake in an established and successful company.
  • Hybrid work (office/remote) and flexible working time with no core hours.
  • Participate in company events such as bowling, minigolf, or pub quizzes.
  • Office perks include yoga classes, free cake/tea/coffee, table tennis, and many more.
  • You make a difference: your work will improve the quality and trust in science.

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