Intern – Computer Vision Research Engineer (m/f/x)

Complex challenges. Smarter systems.

As an intern in Computer Vision and AI team, you will be a part of research and development on topics related to the state-of-the-art technologies. Depending on the currently running projects and your preference, you will have a chance to work closely on such topics as semantic scene understanding, 3D reconstruction or Simultaneous Localization and Mapping with real-world applications in the construction industry.

Start date is flexible to the student's availability. Minimum duration is at least 6 months and upon extension can be converted into a thesis

What You'll do

Depending on the selected path, the role involves either supporting ongoing Computer Vision and Machine Learning projects – developing and evaluating algorithms, processing multimodal sensor data, and improving system performance – or contributing to the organization of the next Hilti Challenge, including dataset collection and preparation, building benchmarking tools, and collaborating with academic partners. The position requires solid programming skills, experience with computer vision and machine learning frameworks, and a good understanding of geometric vision or SLAM concepts. You should demonstrate strong problem-solving skills, initiative, and the ability to work collaboratively in a research-driven environment.

What You’ll Bring

· Enrolment for the whole internship period in a Bachelor, Master or PhD program in the field of computer science, robotics or related
· Solid background in Computer Vision / Machine Learning
· Strong programming skills in Python
· Familiarity with Linux, CLI and git
· Fluency in spoken and written English
· Optional: driving license valid in DACH region

What’s In It for You

We really value our people, and we've worked hard to develop a reward package that reflects this, creating your future to be just how you would want it. Some of our benefits include:

· Connection with a diverse community of over 2,100 colleagues from 70 nationalities in a region where Liechtenstein, Austria, and Switzerland intersect.
· Employee groups actively supporting causes like female empowerment and the LGBTQIA+ community.
· Leisure activities like mountain biking and tennis.
· Opportunities for community engagement both locally and internationally.
· Shared e-bikes, an on-site gym, dining options, learning opportunities, financial guidance, free parking, fuel discounts, workation, sabbatical, home office opportunity, flexible and trust-based working hours, meditation/ relaxation rooms, Hilti tool rental service, massage possibilities, and relocation support.