Research Engineer Intern (VideoMultimodal LLM) (Start ASAP)

Stfrancis; Bacoor; On-site; PHP 2,376,708 - 3,565,062; Full time

Job summary

A pioneering digital finance company is seeking a Research Engineer Intern to develop and optimize cutting-edge LLM and multimodal models. This role involves research and development in state-of-the-art technology, optimizing large model applications, and collaborating with various teams. Candidates should be MSc or PhD candidates in computer science with research experience in LLM or computer vision. This internship offers hands-on learning and collaboration opportunities in an innovative environment.

Qualifications

• 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.

Responsibilities

• Research and develop state‑of‑the‑art LLM and/or video or multimodal models.
• Implement large model applications in business scenarios.
• Continuously optimize the distributed training framework for large models.

Skills

Research experience in LLM

Proficiency with PyTorch

Computer vision knowledge

Education

MSc or PhD in computer science

Job description

Join Tether as a Research Engineer Intern to develop and optimize state‑of‑the‑art LLM, 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‑art 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.

How to Apply

• Applications are reviewed on a rolling basis; early application is encouraged.
• Clearly state your availability (start and end dates) in your resume.
• Apply only through official channels and verify recruiter identities as per Tether’s guidelines.

This job may close before the stated closing date, you are encouraged to apply as soon as possible

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