Changing the world and user experiences through learned world knowledge is at the core of our team’s mission. We are seeking Research Interns to work with a diverse group of researchers to innovate and advance state-of-the-art solutions in computer vision, computer graphics, generative AI, and physical AI for next-generation consumer applications. This role focuses on pushing the boundaries of cutting-edge research and development in generative machine learning (GenAI, ML), computer vision (CV), computer graphics (CG), and physical AI (PhyAI).
The ideal candidate is a highly motivated and creative researcher with broad knowledge of state-of-the-art GenAI, PhyAI, ML, CV, and CG, demonstrated research ability, and a strong track record of impactful publications in related fields. Interns will play a significant role in developing novel algorithms, innovative system solutions, and open-source prototypes, as well as publishing results in leading conferences and journals.
If you are passionate about solving challenging problems, gaining hands-on experience in applied research, and making a meaningful impact on real-world applications of machine learning and artificial intelligence—and if you are excited to work at the frontier of GenAI, PhyAI, and world model research within a flexible, highly collaborative, and fast-paced team—we would love to hear from you.
Requirements:
- Ph.D. in Computer Science / Machine Learning / Statistics, or related technical disciplines, with a track record of publishing scientific papers
- Proven hands-on experiences with SOTA machine learning algorithms, especially with generative machine learning, physical AI, and/or fine tuning of LLMs/LVMs, and familiarity with ML implementation environments and platforms such as PyTorch and/or Tensorflow.
- Familiar with the ML algorithm and application development lifecycle, data acquisition & annotation, model design & implementation, algorithm testing and improvement.
- Deep knowledge and hands-on experience in computer vision and computer graphics is a plus.
- Strong programming skills in python or C / C++ for Windows and/or Linux is required.
- Experience in working with open-source software frameworks is a plus
- Self-motivated detail-oriented team player
- Good verbal and written communication skills