Job Description
Actionable Insights with Industrial-Grade Video UnderstandingAI 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. Are you excited to become a Ramblr and join us at the intersection of AI and spatial computing? 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 deep learning engineer who can deploy and maintain state-ot-the-art AI models. You write clean, efficient and highly parallelized code to improve and extend our deep learning stack. You work on improving our platform to make training and deployment of models more efficient.By applying your understanding of classical computer vision and state-of-the-art deep neural networks you are responsible for the performance and reliability of our platform. You build and optimize parts of our model stack and efficiently integrate them into our overall pipeline.
We are building an AI-driven data pipeline to unlock next-gen Augmented Reality. In pursuit of this mission, we are leveraging cutting-edge computer vision and deep learning. We are continually searching for new ramblrs for our offices in San Francisco and Munich or even remotely based.
