Tether is a global leader in digital finance, pioneering innovative blockchain solutions and cutting-edge AI technologies. We are looking for an AI Research Engineer to join our team and drive advancements in agentic post-training, focusing on models that can reason, plan, and autonomously utilize tools to solve complex, multi-step tasks.
Key responsibilities
- Conduct end-to-end research and engineering to advance post-training of agentic and tool-use models.
- Design and enhance large-scale post-training systems, including data pipelines and evaluation frameworks.
- Drive improvements in instruction adherence, tool use, multi-agent coordination, and reasoning calibration.
- Develop rigorous evaluation suites and diagnostic tools to assess model readiness.
- Collaborate with cross-functional teams to integrate agentic capabilities into production-ready model releases.
Requirements
- Degree in Computer Science, Machine Learning, or a related field, with an advanced degree preferred.
- Strong experience with multimodal post-training workflows and data pipelines for agentic systems.
- Hands-on experience applying post-training at scale using distributed training frameworks.
- Proven track record of improving model capabilities in reasoning and tool use.
- Active contributions to open-source projects or publications at leading AI conferences.
What we offer
- The opportunity to work within a global, remote-first talent powerhouse.
- Collaboration with industry-leading experts on frontier AI and blockchain technologies.
- A chance to shape the future of agentic AI and its real-world applications.