Equity Research Associate

Join Tether and Shape the Future of Digital Finance. At Tether, we are not just building products; we are 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, enabling the instant, secure, and global transfer of digital tokens at a fraction of the cost. Transparency is the bedrock of everything we do, ensuring trust in every transaction.

Tether is building more than a stablecoin. Alongside USDT, our flagship stablecoin trusted by hundreds of millions worldwide, we offer innovative product suites including energy‑optimized Bitcoin mining solutions, AI‑driven data sharing platforms, and digital asset tokenization services. All of these are part of a broader vision to merge technology and human potential and to create a future where innovation drives global prosperity.

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 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.

• Conduct foundational pre‑training for LLMs and multi‑modal models on large, distributed servers equipped with multi‑nodes and thousands of NVIDIA GPUs.
• Design, prototype, and scale innovative architectures, tokenizers, and cross‑modal alignment layers to enhance model intelligence and multi‑modal understanding.
• Source, filter, and curate massive‑scale textual and multi‑modal datasets, establishing robust data pipelines for efficient pre‑training.
• Execute experiments, analyze results, and refine training methodologies for optimal performance and token efficiency.
• Investigate, debug, and eliminate bottlenecks in model efficiency, computational performance, and cross‑modal alignment stability during long training runs.
• Contribute to distributed training systems to ensure seamless scalability and hardware efficiency on target platforms.

• A degree in Computer Science or a related field; ideally a PhD in NLP, Machine Learning, or a related discipline with a solid record of publications in top AI conferences.
• Hands‑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.
• Familiarity and practical experience with large‑scale, distributed training frameworks, libraries, and tools.
• Deep knowledge of state‑of‑the‑art transformer and non‑transformer modifications aimed at enhancing intelligence, efficiency, and scalability.
• Strong expertise in PyTorch and Hugging Face libraries, with practical experience in model development, continual pre‑training, and deployment.

If 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. Are you ready to be part of the future?