This is a fully remote position, open to applicants in Virginia.

📋 Description

• Engage in groundbreaking and fundamental development of cost-effective yet powerful foundation models, including automatic model optimization and deployment across cloud and edge platforms.

• Collaborate with research, engineering, and product teams to convert research insights into actionable solutions, utilizing foundation models, RSI, and agentic methodologies when applicable.

• Contribute to the development of libraries and tools that support the business objectives.

• Publish significant research findings in leading conferences and academic journals.

• Create efficient and effective methodologies and prototype solutions for next-generation foundation models.

• Collaborate with scientists and engineers on self-evolving vision foundation models, vision-language models, unified models, content management, automatic model optimization, and deployment on cloud and edge environments.

⛳️ Requirements

• Currently pursuing, or in the process of completing, a master's or PhD degree in computer science or a related discipline.

• Highly self-motivated, with the ability to propose and implement innovative concepts.

• Strong presentation and communication skills for engaging both internal and external stakeholders.

• Experience or publications in the development and deployment of compact foundation models.

• Proven track record with influential open-source projects or published papers in prestigious conferences such as CVPR, ICCV, ECCV, NeurIPS, ICML, ACL, among others.

• Experience in front-end development is preferred.

• Proficient coding skills in Python, Pytorch, and related technologies.