Senior AI Inference Engineer (100% Remote - United Kingdom)

Join Tether and Shape the Future of Digital Finance

At 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 you to store, send, and receive digital tokens instantly, securely, and globally, at a fraction of the cost. Transparency ensures trust in every transaction.

Innovate with Tether

Tether Finance: Our product suite features the trusted stablecoin USDT and pioneering digital asset tokenization services.

Tether Power: We optimize excess power for eco-friendly Bitcoin mining in geo-diverse facilities.

Tether Data: We reduce infrastructure costs and enhance communications with solutions like KEET.

Tether Education: We democratize digital learning, empowering individuals in the digital and gig economies.

Tether Evolution: We push technological boundaries to merge innovation with human potential.

Why Join Us?

Our global, remote team is passionate about fintech innovation. If you excel in English communication and want to contribute to a cutting-edge platform, Tether is your place.

About the job:

We aim to make advanced AI technologies accessible, building the next generation of AI models that are transparent, privacy-preserving, and innovative. The role involves developing AI solutions from large-scale models for advanced applications to efficient models for edge devices like mobile phones.

Responsibilities:

• Deploy machine learning models to edge devices using frameworks such as TVM, MLC, and IREE (MLIR).
• Collaborate with researchers to code, train, and transition models from research to production.
• Integrate AI features into existing products with the latest machine learning advancements.

Requirements include strong programming skills in Python, C, C++, experience with deployment platforms, and familiarity with NLP, computer vision, TensorFlow, PyTorch, JAX, CUDA, LLMs, and related technologies. A degree in a relevant field and a solid AI R&D track record are essential.