Research Engineer Intern (VideoMultimodal LLM) (Start ASAP)

NWU; Bacoor, Hinoba-an; On-site; PHP 89,000 - 201,000; Full time

Job summary

Tether invites MSc/PhD candidates in computer science to join as Research Engineer Intern to develop and optimize state-of-the-art video and multimodal models for digital finance. You will research and implement large model applications across pre-training, fine-tuning, and inference, and you will collaborate with broader teams to advance open-source LLM, vision, and multimodal foundation technologies.

PhD internships offer hands-on learning, community-building, development events, and

Qualifications

• Research experience in at least one of LLM, computer vision, or multimodality.
• Proficiency with PyTorch and related libraries.
• Publications in top AI conferences are a plus.

Responsibilities

• Research and develop state-of-the-art video or multimodal models.
• Implement large model applications in pre-training, fine-tuning, post-training, and inference.
• Optimize distributed training frameworks for large models on multi-node GPUs.
• Collaborate with teams across Tether to advance open-source LLM, vision, and multimodal models.

Skills

PyTorch

LLM

Computer vision

Multimodality

Education

MSc/PhD candidate in CS

Job description

Join Tether as a Research Engineer Intern to develop and optimize state-of-the-video, and multimodal models within a pioneering digital finance company.

Your Role

Here's what you will be doing:

• Research and develop state-of-the-LLM and/or video or multimodality models to accelerate open-source progress.
• Implement large model applications in business scenarios including pre-training, supervised fine-tuning, post-training, and inference.
• Continuously optimize the distributed training framework for large models on thousands of multi-node GPUs.
• Collaborate with broader teams across Tether to advance open-source LLM, vision, and multimodal foundation models and products.

About You

The company is looking for:

• MSc or PhD candidate in computer science or a related technical discipline.
• Research experience in at least one of the following areas: LLM, computer vision, or multimodality.
• Proficiency with PyTorch deep learning framework and libraries.
• Publications in top AI conferences (e.g., ACL, NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, TPAMI, IJCV) are a plus.

Training & Development

PhD internships provide hands-on learning, community-building, development events, and collaboration with industry experts to contribute actively to products, research, and emerging technologies.