AI Research Engineer

h3bJoin Tether and Shape the Future of Digital Finance /b /h3 pAt 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. By harnessing the power of blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, all at a fraction of the cost. Transparency is the bedrock of everything we do, ensuring trust in every transaction. /p h3Innovate with Tether /h3 h3Tether Finance: /h3 pOur innovative product suite features the world’s most trusted stablecoin, USDT, relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services. /p h3Tether Power: /h3 pDriving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco-friendly practices in state-of-the-art, geo-diverse facilities. /p h3Tether Data: /h3 pFueling 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. /p h3Tether Education /h3 pDemocratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity. /p h3Tether Evolution /h3 pAt 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. /p h3Why Join Us? /h3 pOur 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. We’ve grown fast, stayed lean, and secured our place as a leader in the industry. /p pIf you have excellent English communication skills and are ready to contribute to the most innovative platform on the planet, Tether is the place for you. /p h3Are you ready to be part of the future? /h3 h3About the job /h3 pAs 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. /p pYou will have a deep expertise in Large Language Model (LLM) and Multi-Modal architectures, a strong grasp of pre-training optimization, and a hands-on, research-driven approach. Your mission is to explore and implement novel techniques and algorithms that lead to groundbreaking advancements: multi-modal data curation and alignment, strengthening baselines, and identifying and resolving existing pre-training bottlenecks to push the limits of cross-modal AI performance. /p h3Responsibilities /h3 ul libLarge-Scale Pre-Training: /b Conduct foundational pre-training for LLMs and Multi-Modal models (integrating text, vision, audio, or other modalities) on large, distributed servers equipped with multi-nodes thousands of NVIDIA GPUs. /li libArchitecture Alignment Innovation: /b Design, prototype, and scale innovative architectures, tokenizers, and cross-modal alignment layers to enhance model intelligence and multi-modal understanding. /li libData Strategy: /b Source, filter, and curate massive-scale textual and multi-modal datasets, establishing robust data pipelines for efficient pre-training. /li libExperimental Research: /b Independently and collaboratively execute experiments, analyze results, and refine training methodologies for optimal performance and token efficiency. /li libOptimization Debugging: /b Investigate, debug, and eliminate bottlenecks in model efficiency, computational performance, and multi-modal alignment stability during long training runs. /li libSystem Scalability: /b Contribute to the advancement of distributed training systems to ensure seamless scalability and hardware efficiency on target platforms. /li /ul ul liA degree in Computer Science or related field. Ideally PhD in NLP, Machine Learning, or a related field, complemented by a solid track record in AI RD (with good publications in A
* conferences). /li liHands-on experience contributing to large-scale LLM or Multi-Modal pre-training runs on large, distributed servers equipped with thousands of NVIDIA GPUs, ensuring scalability and impactful advancements in model performance. /li liFamiliarity and practical experience with large-scale, distributed training frameworks, libraries and tools. /li liDeep knowledge of state-of-the-art transformer and non-transformer modifications aimed at enhancing intelligence, efficiency and scalability. /li liStrong expertise in PyTorch and Hugging Face libraries wi