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Senior Research Engineer - Multimodal & Video Foundation Model

Senior Research Engineer - Multimodal & Video Foundation Model

Tether.ioWorkFromHome, Al-Qassim Province, Saudi Arabia
28 days ago
Job description

Senior Research Engineer - Multimodal & Video Foundation Model

Join Tether and Shape the Future of Digital Finance. At Tether, we’re not just building products, we’re pioneering a global financial revolution. Our cutting-edge solutions empower businesses—from exchanges and wallets to payment processors and ATMs—to seamlessly integrate reserve-backed tokens across blockchains.

Transparency is the bedrock of everything we do, ensuring trust in every transaction. Innovate with Tether : Our innovative product suite features the world’s most trusted stablecoin, USDT, relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services.

Tether Power : Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco-friendly practices in state-of-the-art, geo-diverse facilities. Tether Data : Fueling breakthroughs in AI and peer-to-peer technology, we reduce infrastructure costs and enhance global communications with cutting-edge solutions like KEET, our flagship app that redefines secure and private data sharing.

Tether Education : Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity. Tether Evolution : At the intersection of technology and human potential, we are pushing the boundaries of what is possible, crafting a future where innovation and human capabilities merge in powerful, unprecedented ways.

Why Join Us? Our team is a global talent powerhouse, working remotely from every corner of the world. If you’re passionate about making a mark in the fintech space, this is your opportunity to collaborate with some of the brightest minds, pushing boundaries and setting new standards.

About The Job : 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.

You will have a deep expertise in video generation model architectures with a hands-on, research-driven approach. Your mission is to explore and implement novel techniques and algorithms that lead to groundbreaking advancements : data curation, strengthening baselines, identifying and resolving existing pre-training bottlenecks to push the limits of model performance.

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.
  • 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.
  • Verify the recruiter’s identity. All our recruiters have verified LinkedIn profiles.
  • Be cautious of unusual communication methods. We do not conduct interviews over WhatsApp, Telegram, or SMS.
  • 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.
  • #J-18808-Ljbffr

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    Senior Engineer • WorkFromHome, Al-Qassim Province, Saudi Arabia

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