How do I apply for the AI Video Research Engineer Intern position at Tether.io and track my application?

We provide a direct link to the official application portal. You can apply directly here . Additionally, you can easily track this and other applications by clicking the bookmark icon to save it to your YGI Kanban board .

Is the internship at Tether.io paid and what compensation can candidates expect?

Yes, this is a paid internship opportunity. Exact compensation details are typically finalized during the company interview process.

What are the working arrangements and expected duration for the AI Video Research Engineer Intern role?

This position is a not disclosed, structured as a remote role, with an expected duration of 3 months.

What educational background or degree level is required for the AI Video Research Engineer Intern at Tether.io?

Candidates are generally expected to be holding or pursuing the following degree levels: Master, PhD.

Does Tether.io provide visa sponsorship or assistance for international applicants?

Regarding visa assistance and sponsorship for this role, the official status is currently listed as: Not disclosed.

AI Video Research Engineer Intern

Tether.io

Found 2 months ago

Location

Remote, United Kingdom

Duration (Months)

3 Months

Time

Not disclosed

Work Mode

Remote

Salary

string

Visa Help

Not disclosed

Last Verified

1 month ago

Education

Master
PhD

Skills & Qualifications

Technical Skills

PyTorch
deep learning workflows
image generation
video generation
multimodal learning
open-source video foundation models
large-scale or distributed training
diffusion-based models
transformer-based models
hybrid video generation models

Soft Skills

motivated
research-driven
analytical thinking
creativity
collaboration skills

Job Description

We are seeking highly motivated MSc or PhD interns to work on video generation and multimodal video foundation models. Interns will focus on one or more components of the foundation model lifecycle and are encouraged to propose creative, research-driven ideas that advance the state of the art. You will contribute to the development and improvement of open-source video foundation models, analyze their limitations, and design scalable solutions. This is a research-focused internship with opportunities to publish at top-tier computer vision and machine learning conferences, and to work with petabyte-scale video datasets and large distributed GPU clusters with thousands of GPUs.

Requirements

MSc or PhD candidate in Computer Science, Machine Learning, Computer Vision, or a related technical field
Research topic or experience in image generation, video generation, or multimodal learning
Awareness of open-source video foundation models and their current limitations
Proficiency with PyTorch and modern deep learning workflows
Strong analytical thinking, creativity, and collaboration skills
Prior first-author related publications in CVPR, ICCV, ECCV, NeurIPS, or ICLR
Demonstrated related work, such as research codebase or benchmarks released on GitHub or similar platforms
Experience with large-scale or distributed training
Hands-on experience with diffusion-based, transformer-based, or hybrid video generation models

AI & Machine Learning

Computer Vision

Languages

English

Nice to Haves

Demonstrated related work, such as research codebase or benchmarks released on GitHub or similar platforms
Experience with large-scale or distributed training
Hands-on experience with diffusion-based, transformer-based, or hybrid video generation models

Apply Now

8Open Positions