Join Tether and Shape the Future of Digital FinanceAt Tether, we're not just building products, we're pioneering a global financial revolution. Our solutions 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 global digital token transactions at a low cost. Transparency underpins our operations, ensuring trust in every transaction.
Innovate with TetherTether Finance: Our product suite includes the trusted stablecoin
USDT, used by hundreds of millions, and pioneering digital asset tokenization services.
But that's just the beginning:
Tether Power: Optimizing excess energy for eco-friendly Bitcoin mining in geo-diverse facilities.
Tether Data: Advancing AI and peer-to-peer tech with solutions like
KEET, our secure data sharing app.
Tether Education: Providing access to digital learning, empowering individuals in digital and gig economies.
Tether Evolution: Pushing technological and human potential boundaries to craft a future of unprecedented innovation.
Why Join Us?Our global, remote team is passionate about fintech innovation. If you excel in English communication and want to contribute to a leading platform, Tether is your place.
About the job:We are committed to making advanced AI technologies accessible. With our AI infrastructure investment, we aim to build next-gen AI models for innovation, transparency, and privacy.
This role involves developing AI solutions from large-scale models for advanced applications to efficient, edge-optimized models for devices like smartphones.
Our remote team is rapidly growing, pioneering in the industry. Join us to develop AI models that surpass current leaders, driving technological and accessible progress.
Responsibilities:- Deploy machine learning models to edge devices using frameworks like Llama.cpp, ONNX, TVM, MLC LLM, and IREE.
- Collaborate with researchers to code, train, and transition models from research to production.
- Integrate AI features into existing products, incorporating the latest ML advancements.
- Proficient in Python and C/C++ programming.
- Experience with deployment platforms such as Llama.cpp, ONNX, TVM, MLC LLM, IREE (MLIR), and GPU architectures.
- Knowledge of NLP, transformers, fine-tuning, computer vision, TensorFlow, PyTorch, JAX, CUDA.
- Experience with LLMs, fine-tuning, RAG, transformers is advantageous.
- Ability to quickly learn new technologies and techniques.
- Degree in Computer Science, AI, Machine Learning, or related field, with proven AI R&D experience.