Senior Computer Vision Researcher at Imagetwin
Vienna, , Austria -
Full Time


Start Date

Immediate

Expiry Date

26 Dec, 25

Salary

85000.0

Posted On

27 Sep, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Machine Learning, Computer Vision, Image Processing, Team Management, Research, Fraud Detection

Industry

IT Services and IT Consulting

Description
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.
Responsibilities
Conduct hands-on research in computer vision tasks and build a research team. Transition into managing the team as it grows and turn research results into a polished product.
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