Senior Research Engineer - Multimodal & Video Foundation Model

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.

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