Junior Machine Learning/AI Engineer

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 strong Machine Learning/AI Engineer who can deploy and maintain state-of-the-art AI models, and embed them in systems combining them with MLLMs, computer vision and other components. You write clean, efficient and highly parallelized code to improve and extend our physical AI stack. You work on improving our platform to make building and deployment of features more efficient.

By applying your understanding of state-of-the-art deep neural networks and modern agentic complex systems, you are responsible for the performance and reliability of our platform. You build and optimize parts of our AI stack and efficiently integrate them into our products.