Job Title: Research Intern, Computer Vision & Multimodal AI
Location: San Jose, CA 95131, US
The opportunity
Join our research team to push the boundaries of what’s possible in Computer Vision. This isn't a "support" role -you will be at the heart of the research process, tackling unsolved problems in areas like 3D scene modeling and understanding, Vision-Language Models (VLMs), and Multimodal Generative AI. You will have the opportunity to work with a diverse group of researchers in the exploration of advanced techniques.
Your impact
• Drive Innovation: Design and implement novel architectures and methods that move beyond the current state-of-the-art.
• Survey the Horizon: Conduct deep-dive literature reviews and benchmarking to identify gaps in existing research and inspire new directions.
• Experimental Rigor: Develop, train, and refine models using large-scale datasets, evaluating success through both rigorous quantitative metrics and qualitative insights.
• Contribute to the Community: Draft high-quality manuscripts for submission to top-tier venues (e.g., CVPR, ICCV, ECCV, NeurIPS, ICML) and present your findings to internal stakeholders.
What we are look for
• Core Expertise: A deep intuition for Computer Vision and Machine Learning fundamentals (e.g., 3D modeling, transformer architectures, latent diffusion).
• Framework Mastery: Expert-level Python skills and hands-on experience with PyTorch (or similar frameworks).
• Research Pedigree: Currently enrolled in a PhD program in Computer Science or a related field, with a focus on CV/ML research.
• Communication: The ability to distill complex technical concepts into clear papers and presentations.
• Collaboration: A proactive mindset - you are comfortable leading a project while remaining open to feedback and mentorship from senior researchers.
Preferred Qualifications
• A track record of publications (or high-quality pre-prints) at top-tier AI conferences.
• Experience with specific domains such as 3DGS/NeRFs, Diffusion Models, or Large Multimodal Models (LMMs).
• Knowledge of computer graphics is a plus
Founded in 2001, Futurewei Technologies is dedicated to pursuing openness in Research & Development (R&D) by embracing Open Innovation Model. We strive to share ideas and knowledge with technology communities to open and new business opportunities.
Futurewei maintains ongoing, in-depth collaboration with forward-thinking companies around the world in multiple domains. Our experts have been actively engaged in standard programs throughout these past two decades.
We are active in open-source communities as part of our ongoing efforts to build out the industry and cultivate an ecosystem that promotes shared success, we participate the next generation standards for wireless and networks; and we building open ecosystems through open app platforms for ICT systems.
