СингапурMachine Learning Intern
1 мес. назад
СингапурTraineeOnsite
machine learningvideo processingmultimodal datainfrastructure design
Internship working on advanced video generation models in AI research lab with mentorship and project ownership.
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 machine learning 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:
- Develop reward models 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
- Build systems for ingesting, preprocessing, curating, and delivering large-scale video datasets
- Develop distributed pipelines for dataset generation, deduplication, preprocessing, and repeated dataset refreshes
- Improve the reliability, reproducibility, and efficiency of data and model-training workflows
- Build tooling for video and multimodal data using technologies such as FFmpeg, PyAV, DALI, or OpenCV
- 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 pursuing a bachelor’s or master’s degree in computer science, engineering, machine learning, or a related field
- Have experience building data pipelines, ML infrastructure, or distributed systems through research, coursework, open-source contributions, or previous internships
- Are familiar with tools such as Ray, PySpark, Airflow, Docker, Kubernetes, or equivalent technologies
- Have worked with cloud storage or compute platforms such as AWS, Google Cloud, or Azure
- Understand practical considerations around data throughput, storage layout, caching, monitoring, and failure recovery
- Are proficient in Python and interested in building reliable systems for large-scale machine learning
- 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: Start dates: First batch starts in October 2026; second batch starts in January 2027