Job Opportunities
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Join our team at MCML
Our diverse and collaborative team is comprised of experts from a variety of disciplines, including computer science, mathematics, statistics, and more.
We are committed to fostering a stimulating and supportive environment for our team members, and we strive to provide opportunities for personal and professional growth.
If you are passionate about AI and ML and are looking for an exciting and challenging opportunity, we encourage you to explore the job opportunities available at and around MCML.
Currently We Are Looking For
Science Manager (M/W/D) – Outreach & Community @MCML
MCML is looking for Science Manager to support outreach, community building, and internal coordination. The role includes organizing events, managing junior member onboarding/offboarding, supporting reporting and audits, and handling stakeholder communication and public relations within the joint initiative of TUM an LMU Munich.
The Computer Vision Group @TUM Is Seeking Two Student Assistants (m/f/x).
In this role, you will assist with implementing and evaluating baseline methods for building egocentric world models using available egocentric video datasets following our previous works. We are looking for student assistants to support this line of research flexibly for 10-20 hours per week. In addition, we are also interested in supporting students to explore novel ideas in embodied AI, reasoning, and open-ended learning. Feel free to reach out.
Voluntary Social Year in Science, Technology, and Sustainability (FJN) @MCML
MCML offers a Voluntary Social Year in Science, Technology, and Sustainability (FJN) starting in September 2026. Participants support science management, event organization, and public outreach, while gaining insight into research and administrative processes at LMU and TUM within an international AI research environment.
Senior AI Expert (M/F/D) for AI Computing Services
Leibniz Supercomputing Centre (LRZ) is looking for a full-time, temporary (4 years, with potential extension) Senior AI Expert for AI Computing Services. The role involves developing AI infrastructure and services, supporting researchers, contributing to national and European research projects, and mentoring junior staff. Candidates should have experience with machine learning and artificial intelligence frameworks, Linux-based systems, project work, and large-scale computing for AI workloads, ideally with experience in European research projects.