Working Student - Machine Learning/Agentic Systems

Actionable Insights with Industrial-Grade Video Understanding

AI for the Physical World. At Ramblr, we go beyond superficial video analysis to extract deep context from egocentric videos. Our technology provides a comprehensive understanding of actions, individual objects, and their relationships. Prompt Ramblr’s AI assistant to unlock precise insights and pinpoint specific moments in thousands of hours of multimodal videos captured from a first-person perspective, or find explanations and patterns in your videos you were not aware of. 

Are you excited to become a Ramblr and join us at the intersection of AI and the physical world? If so, you can apply directly to the job posting or use the open application form.

We look forward to hearing from you !

We are looking for a Working Student with a strong discovery and engineering mindset for AI and Machine Learning with experience in the usage of deep learning models as part of agentic/complex systems. You will contribute to the design, deployment, and improvement of physical AI systems leveraging multiple machine learning models in conjunction with (V)LLMs.