ML - Research Intern

Position: ML - Research Intern 2026
The Machine Learning Department invites applications for winter, summer, and fall 2026 internships. We have research projects covering many areas of machine learning. The internship will involve research and development of novel machine learning algorithms with applications in multimodal Large Language Models, AI for Science, real-time awareness, and healthcare. Our internships normally result in high-quality publications (). Minimum duration of the internships are usually 3 months, and the exact dates are flexible.

We conduct research on various aspects of machine intelligence and reasoning, from the exploration of theoretical machine learning and new algorithms to applications in computer vision for real-time awareness and industrial digital twin, natural language understanding, and AI for Science. Ongoing projects focus on multimodal reasoning and planning, multimodal LLM, agentic generative AI, structured AI, workflow AI, AI safety, physics informed machine learning, and generative embodied AI, among others.

Publishing is an integral part of our activities as a means for calibrating the quality of the research and to ensure staying at the forefront of technology. Application projects emphasize technologies that solve real world problems, and many of our research results have been and will be transferred into industry products.