【R&D】Director, Finance

Join Tether and Shape the Future of Digital Finance At Tether, we’re not just building products, we’re pioneering a global financial revolution. 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. Tether Finance: 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.
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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.

Our team is a global talent powerhouse, working remotely from every corner of the world. 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.
As Head of AI (R&D), you will lead cross-functional teams to drive innovation in training multimodal large language models (LLMs), video foundation models, and other advanced AI systems. These models will be optimized for both cloud-based deployments and edge computing environments, ensuring scalability, efficiency, and real-world applicability. You will report directly to senior leadership and play a pivotal role in shaping the company's AI strategy, from research breakthroughs to production-ready solutions.

Lead and mentor interdisciplinary teams of researchers, engineers, and data scientists to pioneer cutting-edge AI research and development.
Innovate on model architectures, training methodologies, and optimization techniques for multimodal LLMs (integrating text, image, audio, and video) and specialized video foundation models.
Oversee scalable training pipelines, including data curation, distributed computing strategies (e.g., Deliver high-quality, general-purpose models tailored to specific applications and use cases, ensuring they meet performance benchmarks for accuracy, latency, and resource efficiency on cloud and edge devices.
Collaborate with product, engineering, and deployment teams to transition research prototypes into production systems.
Manage budgets, timelines, and resources for R&D projects, ensuring alignment with business objectives and pragmatic AI practices.

Proven experience leading AI R&D teams (5+ years in a leadership role) with a track record of delivering production-grade models from concept to deployment.
PhD in Computer Science, Machine Learning, Artificial Intelligence, or a related field.
Deep expertise in training foundation models, including multimodal LLMs and video models, with hands-on experience in frameworks like PyTorch, TensorFlow, or JAX.
Strong understanding of scalable training techniques, such as data parallelism, model parallelism, and efficient inference on edge devices (e.g., Demonstrated ability to scale teams and projects in fast-paced environments.
Experience with real-world deployments of AI models in datacenter and edge settings.
Familiarity with ethical AI, bias mitigation, and regulatory compliance in model development.
Strong programming skills in Python and experience with distributed systems (e.g., Verify the recruiter’s identity. All our recruiters have verified LinkedIn profiles. If you’re unsure, you can confirm their identity by checking their profile or contacting us through our website.
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