AI Research Engineer (Model Compression & Quantization) - 100% Remote Worldwide

Tether Operations Limited

United States

Remote

USD 120,000 - 180,000

Full time

8 days ago

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Job summary

Tether Operations Limited is seeking an innovation-focused AI engineer to join its AI model team. You will drive model serving and inference architecture across advanced AI systems, optimizing deployment for responsiveness and scale.

Work spans resource-efficient models to multi-modal architectures, with a hands-on, research-driven approach to develop, test, and implement novel serving pipelines. This globally distributed team works remotely and collaborates to push fintech AI forward.

Qualifications

  • Experience with model serving and inference architectures.
  • Familiarity with multi-modal AI systems is a plus.
  • Strong research-driven approach to experimentation and implementation.

Responsibilities

  • Drive innovation in model serving and inference architectures for advanced AI systems.
  • Optimize deployment and inference strategies for responsiveness, efficiency and scalability.
  • Work on a spectrum from resource-efficient models to complex multi-modal architectures.

Skills

Model serving
Inference architectures
Multi-modal models
Research-driven approach

Tools

Model serving frameworks
Inference frameworks

Job description

Join Tether and Shape the Future of Digital FinanceAt Tether, we’re not just building products, we’re 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. 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. Transparency is the bedrock of everything we do, ensuring trust in every transaction.

Innovate with Tether

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. But that’s just the beginning: Tether Power: Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco-friendly practices in state-of-the-art, geo-diverse facilities. 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.

Why Join Us?

Our team is a global talent powerhouse, working remotely from every corner of the world. If you’re passionate about making a mark in the fintech space, this is your opportunity to collaborate with some of the brightest minds, pushing boundaries and setting new standards. We’ve grown fast, stayed lean, and secured our place as a leader in the industry. 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?

About the job

As a member of our AI model team, you will drive innovation in model serving and inference architectures for advanced AI systems. Your work will focus on optimizing model deployment and inference strategies to deliver highly responsive, efficient, and scalable performance across real-world applications. You will work on a wide spectrum of systems, ranging from resource-efficient models designed for limited hardware environments to complex, multi-modal architectures that integrate data such as text, images, and audio. We expect you to have deep expertise in designing and optimizing model serving pipelines and inference frameworks as well as a strong background in advanced model architectures. You will adopt a hands-on, research-driven approach to develop, test, and implement novel se

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