AI Research Engineer (Agentic Post-training) - 100% Remote Worldwide

As an AI Research Engineer focused on agentic post-training at Tether, you will drive innovation in post-training methodologies with a special focus on agentic behaviors and tool use. Your work will refine pre-trained models so they deliver enhanced intelligence and domain-specific capabilities while learning to reason, plan, and autonomously invoke external tools to solve real-world, multi-step tasks on edge devices such as smartphones.

What you'll do

• Conduct end-to-end research and engineering initiatives to advance post-training of agentic and tool-use models to achieve state-of-the-art results
• Drive broad, cross-cutting model improvements, including factuality, instruction adherence, tool and function use, multi-agent coordination, and reasoning calibration
• Design and enhance large-scale post-training systems, including data pipelines, training workflows, evaluation frameworks, and benchmark infrastructure
• Develop rigorous evaluation suites and diagnostic tools to assess model readiness for deployment
• Strengthen feedback loops from real-world product usage, incorporating both explicit and implicit user signals into post-training
• Collaborate with tooling, product, and training teams to improve the usefulness, reliability, and agentic capabilities of frontier models
• Liaise closely with research, engineering, and cross-functional teams to determine which integrations are production-ready for inclusion in major model releases
• Curate agentic training data, including trajectories of tool use, reasoning chains, and environment interactions, to strengthen baseline performance
• Identify and resolve bottlenecks in post-training for tool-augmented agents to achieve state-of-the-art model quality

What you bring

• A degree in Computer Science, Machine Learning, or a related field; an advanced degree (MS or PhD) is preferred with a strong publication record in top-tier AI conferences
• Experience with multimodal post-training workflows and data pipelines, particularly for agentic systems and tool use
• Hands-on experience applying post-training at scale using distributed training frameworks, such as multi-node GPU environments
• Demonstrated experience improving model capabilities in areas such as reasoning, tool use, and multi-agent coordination that achieve state-of-the-art results
• A proven track record of open-source contributions related to agentic systems or tool use (code, datasets, or models) on platforms such as GitHub or Hugging Face
• Publications at leading AI conferences such as NeurIPS, ICML, ICLR, ACL, CVPR, or ECCV

What we offer

• 100% remote work worldwide

About Tether

Tether pioneers global financial infrastructure through reserve-backed tokens, stablecoins like USDT trusted by hundreds of millions, and digital asset tokenization. The company operates across fintech (Tether Finance), sustainable energy for Bitcoin mining (Tether Power), peer-to-peer technology and secure data sharing through KEET (Tether Data), digital education (Tether Education), and frontier technology innovation (Tether Evolution).