{ “@context”: “http://schema.org”, “@type”: “JobPosting”, “title”: “Senior Research Engineer – Multimodal & Video Foundation Model”, “description”: “
Overview
Senior Research Engineer – Multimodal & Video Foundation Model
As a member of the AI model team, you will drive innovation in architecture development for cutting-edge models of various scales, including small, large, and multi-modal systems. Your work will enhance intelligence, improve efficiency, and introduce new capabilities to advance the field.
Responsibilities
- Pioneer multimodal and video-centric research that moves fast and breaks ground, contributing directly to usable prototypes and scalable systems.
- Design and implement novel AI architectures for multimodal language models, integrating text, visual, and audio modalities.
- Engineer scalable training and inference pipelines optimized for large-scale multimodal datasets and distributed GPU systems across thousands of GPUs.
- Optimize systems and algorithms for efficient data processing, model execution, and pipeline throughput.
- Build modular tools for preprocessing, analyzing, and managing multimodal data assets (e.g., images, video, text).
- Collaborate cross-functionally with research and engineering teams to translate cutting-edge model innovations into production-grade solutions.
- Prototype generative AI applications showcasing new capabilities of multimodal foundation models in real-world products.
- Develop benchmarking tools to rigorously evaluate model performance across diverse multimodal tasks.
Qualifications
- Bachelor’s degree in Computer Science, Computer Engineering, or a related technical field, or equivalent practical experience
- Expertise in Python & PyTorch, including practical experience working with the full development pipeline from data processing & data loading to training, inference, and optimization.
- Experience working with large-scale text data, or (bonus) interleaved data spanning audio, video, image, and/or text.
- Direct hands-on experience in developing or benchmarking at least one of the following topics: LLMs, Vision Language Models, Audio Language Models, generative video models
Nice to have skills
- PhD in Computer Vision, Machine Learning, NLP, Computer Science, Applied Statistics, or a closely related field
- Demonstrated expertise in computer vision, video generation foundation model and/or multimodal research.
- First-author publications at leading AI conferences such as CVPR, ICCV, ECCV, ICML, ICLR, NeurIPS etc.
Important information for candidates
- Recruitment scams have become increasingly common. To protect yourself, please keep the following in mind when applying for roles: Apply only through our official channels. We do not use third-party platforms or agencies for recruitment unless clearly stated. All open roles are listed on our official careers page: https://tether.recruitee.com/
- Verify the recruiter’s identity. All our recruiters have verified LinkedIn profiles. If you’re unsure, you can confirm their identity by checking their profile or contacting us through our website.
- Be cautious of unusual communication methods. We do not conduct interviews over WhatsApp, Telegram, or SMS. All communication is done through official company emails and platforms.
- Double-check email addresses. All communication from us will come from emails ending in @tether.to or @tether.io
- We will never request payment or financial details. If someone asks for personal financial information or payment at any point during the hiring process, it is a scam. Please report it immediately.
Job details
- Seniority level: Not Applicable
- Employment type: Full-time
- Job function: Information Technology
- Industries: Technology, Information and Internet
Company: Tether.io
Location:
Job Description:
Overview
Senior Research Engineer – Multimodal & Video Foundation Model
As a member of the AI model team, you will drive innovation in architecture development for cutting-edge models of various scales, including small, large, and multi-modal systems. Your work will enhance intelligence, improve efficiency, and introduce new capabilities to advance the field.
Responsibilities
- Pioneer multimodal and video-centric research that moves fast and breaks ground, contributing directly to usable prototypes and scalable systems.
- Design and implement novel AI architectures for multimodal language models, integrating text, visual, and audio modalities.
- Engineer scalable training and inference pipelines optimized for large-scale multimodal datasets and distributed GPU systems across thousands of GPUs.
- Optimize systems and algorithms for efficient data processing, model execution, and pipeline throughput.
- Build modular tools for preprocessing, analyzing, and managing multimodal data assets (e.g., images, video, text).
- Collaborate cross-functionally with research and engineering teams to translate cutting-edge model innovations into production-grade solutions.
- Prototype generative AI applications showcasing new capabilities of multimodal foundation models in real-world products.
- Develop benchmarking tools to rigorously evaluate model performance across diverse multimodal tasks.
Qualifications
- Bachelor’s degree in Computer Science, Computer Engineering, or a related technical field, or equivalent practical experience
- Expertise in Python & PyTorch, including practical experience working with the full development pipeline from data processing & data loading to training, inference, and optimization.
- Experience working with large-scale text data, or (bonus) interleaved data spanning audio, video, image, and/or text.
- Direct hands-on experience in developing or benchmarking at least one of the following topics: LLMs, Vision Language Models, Audio Language Models, generative video models
Nice to have skills
- PhD in Computer Vision, Machine Learning, NLP, Computer Science, Applied Statistics, or a closely related field
- Demonstrated expertise in computer vision, video generation foundation model and/or multimodal research.
- First-author publications at leading AI conferences such as CVPR, ICCV, ECCV, ICML, ICLR, NeurIPS etc.
Important information for candidates
- Recruitment scams have become increasingly common. To protect yourself, please keep the following in mind when applying for roles: Apply only through our official channels. We do not use third-party platforms or agencies for recruitment unless clearly stated. All open roles are listed on our official careers page: https://tether.recruitee.com/
- Verify the recruiter’s identity. All our recruiters have verified LinkedIn profiles. If you’re unsure, you can confirm their identity by checking their profile or contacting us through our website.
- Be cautious of unusual communication methods. We do not conduct interviews over WhatsApp, Telegram, or SMS. All communication is done through official company emails and platforms.
- Double-check email addresses. All communication from us will come from emails ending in @tether.to or @tether.io
- We will never request payment or financial details. If someone asks for personal financial information or payment at any point during the hiring process, it is a scam. Please report it immediately.
Job details
- Seniority level: Not Applicable
- Employment type: Full-time
- Job function: Information Technology
- Industries: Technology, Information and Internet
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Posted: April 11th, 2026