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 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.
As a member of our AI model team, you will drive innovation across the entire AI lifecycle by developing and implementing rigorous evaluation frameworks and benchmark methodologies for pre-training, post-training, and inference. Your focus will be on designing metrics and assessment strategies that guarantee our models are highly responsive, efficient, and reliable across real-world applications.
You will work on a wide spectrum of systems, from resource-efficient models for limited hardware environments to complex, multi-modal architectures that integrate text, images, and audio. The role involves collaborating with cross-functional teams including product management, engineering, and operations to share evaluation findings and integrate stakeholder feedback. The ultimate goal is to set industry-leading standards for AI model quality and reliability.
Responsibilities:
- Develop, test, and deploy integrated frameworks to assess models during pre-training, post-training, and inference.
- Define and track key performance indicators such as accuracy, latency, throughput, and memory footprint.
- Curate high-quality evaluation datasets and design standardized benchmarks.
- Engage with diverse teams to align evaluation metrics with business objectives.
- Present evaluation findings and insights through comprehensive dashboards and reports.
- Systematically analyze evaluation data to propose and implement optimizations.
- Conduct iterative experiments and empirical research for refining evaluation methodologies.
Qualifications:
- A degree in Computer Science or a related field; ideally a PhD in NLP, Machine Learning, or similar.
- Demonstrated experience in designing and evaluating AI models at multiple stages.
- Strong programming skills and hands-on experience with evaluation benchmarks and frameworks.
- Proven ability to conduct iterative experiments and empirical research.
- Experience collaborating with diverse teams to align evaluation strategies with organizational goals.
- Proficiency in English communication skills.
Join us at Tether and be part of a dynamic team that empowers innovation and drives sustainable growth in the fintech space. If you’re ready to contribute to the most innovative platform, apply now!
