About the Job:
Join Tether and shape the future of digital finance. At Tether, we’re pioneering a global financial revolution with cutting-edge solutions that empower businesses—from exchanges and wallets to payment processors and ATMs—to seamlessly integrate reserve-backed tokens across blockchains. By harnessing blockchain technology, Tether enables secure, instant, and affordable digital token transactions.
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As a member of the AI model team, you will drive innovation in architecture development for cutting-edge models, including small, large, and multi-modal systems. Your mission is to explore and implement novel techniques and algorithms aimed at significant advancements in areas like data curation and resolving pre-training bottlenecks to enhance model performance.
Responsibilities:
- Pioneer multimodal and video-centric research, contributing 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 for large-scale multimodal datasets across distributed GPU systems.
- Optimize systems for efficient data processing and pipeline throughput.
- Build modular tools for preprocessing and managing multimodal data assets (images, video, text).
- Collaborate with research and engineering teams to translate model innovations into production solutions.
- Prototype generative AI applications showcasing new capabilities of multimodal foundation models.
- Develop benchmarking tools to 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, with experience in the full development pipeline.
- Experience working with large-scale text data; experience with audio, video, image, and/or text data is a bonus.
- Direct hands-on experience in developing or benchmarking LLMs, Vision Language Models, Audio Language Models, or generative video models.
Preferred Skills:
- PhD in relevant fields such as Computer Vision, Machine Learning, or NLP.
- Demonstrated expertise in video generation foundation models and/or multimodal research.
- First-author publications at leading AI conferences (e.g., CVPR, ICCV, NeurIPS).
Language Requirement:
- Excellent English communication skills are required.
