Research Scientist/Research Engineer, Multimodal Agents

Design and implement novel agentic solutions to enhance multimodal foundational models, specifically in image and video domains.
Conduct cutting-edge research in machine learning, with a focus on large language models (LLMs) and computer vision, to drive advancements in multimodal understanding and interaction.
Develop and deploy robust, scalable machine learning systems and prototypes that integrate effectively with existing infrastructure.
Collaborate with cross-functional teams of scientists and engineers to translate research insights into impactful product features and publications.
Analyze and evaluate the performance of agentic models, iterating on designs and approaches to continuously improve effectiveness and efficiency.
Stay abreast of the latest research and developments in AI, particularly in multimodal learning and agent systems, and contribute to the scientific community through publications and presentations.