СингапурResearch Intern
1 мес. назад
СингапурTraineeOnsite
video generationdiffusion modelsdistillation methodsinference optimizationreward modelingmultimodal data systemsinfrastructure development
Internship role focused on research and development of video generation models at a social AI company.
О компании
- Labs is a social AI company developing a suite of advanced video generation models. We bring characters to life, transforming how people tell stories, connect, and create. We build and power ecosystems. , our flagship social AI platform, is just the beginning.
- is growing its research lab in Singapore, and we are looking for exceptional research interns to work with us on the next generation of video models in October 2026.
- This is a three month onsite internship designed to give you meaningful ownership of a well-defined research or engineering problem. You will be matched with a project based on your background and interests, working closely with a senior mentor from initial problem formulation through experimentation, evaluation, and, where appropriate, submission to a leading AI conference.
- Projects may focus on post-training and inference efficiency for video generation models, reward modeling and preference-based optimization multimodal data systems, or scalable infrastructure for video model training. The primary focus will be your core project, with opportunities to contribute to applied or product-adjacent work where relevant.
Другое
- Depending on your project, you may:
- Research and develop distillation methods for large-scale diffusion and flow-based video generation models, including guidance and adversarial distillation
- Explore techniques that reduce inference cost while preserving or improving generation quality
- Develop reward models and preference-based optimization methods to improve aesthetics, motion quality, temporal consistency, and prompt adherence
- Study how base-model behavior affects post-training outcomes and use experimental findings to inform model development
- Design rigorous evaluations and conduct large-scale experiments on generative video models
- Contribute to evaluation harnesses, model integrations, research tooling, or other product-adjacent projects related to your core work
- Document and communicate your findings through research reports, internal presentations, demonstrations, and potential conference submissions
- Are currently pursuing a PhD or are a final-year master’s student in computer science, machine learning, computer vision, or a related field
- Have research experience in generative modeling, computer vision, multimodal learning, or video generation
- Have hands on experience with diffusion models, flow-based models, model distillation, reinforcement learning, preference optimization, or related post-training techniques
- Can formulate hypotheses, design controlled experiments, analyze results, and communicate conclusions clearly
- Are proficient in Python and have hands-on experience with PyTorch, JAX, or another modern machine learning framework
- Are comfortable working independently on an open-ended research problem while collaborating closely with a mentor and the broader team
- Experience with video, image, audio, or other multimodal data is valuable. Publications at leading venues such as NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, or AAAI are a plus, but are not required. We care most about the quality of your thinking, the depth of your technical work, and your ability to learn quickly.
- A defined project and named senior mentor before your first day
- Weekly one-on-one meetings and clear project milestones
- A meaningful compute allocation for your research
- The opportunity to own a complete research or engineering result
- First-author positioning by default where your contribution supports a publication
- Timely internal review of research intended for submission
- Support for conference travel if your paper is accepted
- Opportunities to demonstrate your work and receive credit for product contributions
- A competitive monthly stipend
- Visa and travel support for eligible international candidates
- Housing support for qualifying international interns in Singapore
- Equipment and resources needed to complete your work
- Location: Singapore
- Duration: Three months
- Working model: Onsite
- Start dates: First batch starts in October 2026, second batch starts in January 2027