Intern/Working Student - Machine Learning

VidLab7 is the leading synthetic media platform for revenue teams, leveraging cutting-edge AI to redefine hyper-personalized video at scale and boost conversions. Backed by a €3.5M seed investment from EQT Ventures, we are building transformative technology with a fast-paced, high-performance team. This is an incredible opportunity for an intern or working student eager to learn, contribute, and grow in a dynamic environment.

• Assist in the development and optimization of advanced AI models, including video models, NeRF (Neural Radiance Fields), and diffusion models.


• Support senior engineers in building and deploying end-to-end ML products.


• Help enhance MLOps pipelines to improve scalability, reliability, and maintainability.


• Contribute to research and innovation on advanced AI technologies, including familiarity with large language models (LLMs).


• Collaborate with the team on key projects and technical presentations.

• Proven experience in areas such as video models, NeRF (Neural Radiance Fields), diffusion models, and other advanced AI technologies. Familiarity with large language models (LLMs) is a plus.


• Strong software engineering skills, including experience with MLOps practices, focusing on scalability, reliability, and maintainability.


• Currently enrolled in a Bachelor’s or Master’s program in Computer Science, Artificial Intelligence, or a related field.


• Solid foundation in machine learning concepts and Python programming.


• Eager to learn and take on challenges with a hands-on, problem-solving mindset.


• Availability for at least 15-20 hours per week (flexible).

• 🌍 Flexible work setup: Hybrid in Munich or fully remote.


• 🚀 Work alongside experienced engineers on real-world AI projects.


• ✨ Learn and grow in a fast-paced, cutting-edge AI startup environment.


• Opportunity to make a tangible impact on the development of innovative products.

Ready to kickstart your career in AI? Join VidLab7 as an Intern or Working Student and work on projects that shape the future of synthetic media. Apply now and be part of our journey!