Jobs at Tether.io

Own end-to-end product design for digital wallets, from concept and prototyping through launch and iteration. Simplify complex crypto and self-custody experiences for new users, collaborate with product, engineering, research, and leadership, and raise design quality. The role also contributes to wallet strategy and requires rapid prototyping, strong visual and interaction design, and understanding of crypto networks, fees, and emerging financial users.

As a Senior UX Researcher at Tether, you'll lead UX research for both consumer and developer products, identify best practices, and support product decisions through clear, actionable insights.

Lead oversight of a ~$1B real estate portfolio spanning third-party funds, SPVs, and direct assets. Monitor performance, challenge underwriting and valuations, manage SPV liquidity, conduct site visits for developments, enforce reporting standards, represent Tether on boards, and prepare Investment Committee reporting and scenario analyses.

As a Research Engineer Intern, you'll develop state-of-the-art LLM and multimodality models, optimize distributed training frameworks, and collaborate on the application of large models in business scenarios.

As an AI Inference Engineer, you will optimize C++ systems for AI model inference on edge devices, collaborating with researchers to deploy and enhance models while ensuring runtime stability and performance.

The Internal Audit Manager will oversee risk-based audits, evaluate internal controls and compliance, and engage with senior leadership to enhance risk culture in a digital finance environment.

Lead research and engineering for large-scale LLM and multi-modal pre-training: design architectures and tokenizers, curate massive datasets, run distributed training on thousands of GPUs, debug performance bottlenecks, and improve cross-modal alignment and efficiency.

Drive innovation in post-training methodologies for AI models, focusing on agentic behaviors, tool use, and enhancing model capabilities for real-world applications.

As an AI Research Engineer, you'll optimize model deployment and inference architectures for AI systems, enhancing performance across various applications, especially on resource-constrained devices. Responsibilities include designing efficient serving architectures, conducting inference tests, and collaborating with teams to integrate solutions.

As an AI Research Engineer, you will innovate in model compression techniques for large multimodal AI systems, focusing on efficiency and model deployment.

As an AI Research Engineer, you will develop multi-modal reinforcement learning systems, focusing on optimization across data modalities, conducting research on algorithms, and building infrastructure for scalable training and evaluation.

As an AI Research Engineer, you will develop and optimize vision-language models, managing the full model lifecycle from training to deployment, focusing on efficiency and innovation in multimodal architectures.

Drive research and engineering for large-scale LLM and multi-modal pre-training: design architectures, curate massive datasets, run distributed training on multi-node GPU clusters, optimize performance, and advance cross-modal alignment and efficiency.

Design, build, and scale backend services and APIs in Node.js for high-availability financial and tokenization infrastructure. Work on blockchain integrations, token operations, permissions and transaction workflows, observability, deployment automation, and reliability improvements while collaborating cross-functionally to translate product requirements into secure, scalable systems.