Research Engineer Intern — LLM & Multimodal Models

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

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