AI Research Engineer (Agentic Reinforcement Learning) - 100% Remote Worldwide

As an AI Research Engineer specializing in Agentic Reinforcement Learning at Tether, you will drive innovation in multi-modal reinforcement learning to advance next-generation intelligent systems. You'll focus on optimizing decision-making and adaptive behavior across integrated data modalities such as text, images, and audio. Your work will span research, infrastructure development, and deployment of novel reinforcement learning algorithms across complex multi-modal architectures, including diffusion-based generative models and autoregressive models for multimodal understanding.

What you'll do

• Conduct research on reinforcement learning algorithms for multimodal models, including diffusion-based approaches for images, autoregressive models for multimodal understanding, and unified frameworks that integrate multiple modalities
• Design and build reinforcement learning infrastructure that supports scalable, distributed training across multimodal systems while maintaining efficiency and reliability
• Develop and refine reward modeling strategies that improve training stability, align model behavior with desired outcomes, and mitigate reward hacking and related failure modes
• Create and curate multimodal simulation environments and datasets to support robust training, evaluation, and benchmarking of reinforcement learning systems
• Design and conduct rigorous benchmarking and evaluation protocols to measure model performance, track progress against baselines, and validate improvements across multimodal tasks
• Analyze and optimize policy performance across modalities by identifying bottlenecks in training, credit assignment, and cross-modal alignment
• Investigate and develop next-generation reinforcement learning paradigms that more effectively learn from environment feedback, with the goal of achieving superior state-of-the-art performance
• Publish research findings in top-tier conferences such as ICML, NeurIPS, ICLR, CVPR, ICCV, and ECCV

What you bring

• Deep expertise in designing multi-modal reinforcement learning systems
• A strong background in advanced model architectures
• A hands-on, research-driven approach to building and deploying novel algorithms and training frameworks
• Experience with resource-efficient models designed for constrained hardware environments
• Excellent English communication skills

What we offer

• 100% remote work worldwide

About Tether

Tether is a global fintech leader pioneering reserve-backed digital tokens across blockchains. The company operates multiple divisions including Tether Finance (home to USDT, the world's most trusted stablecoin), Tether Power (sustainable energy solutions for Bitcoin mining), Tether Data (AI and peer-to-peer infrastructure including KEET, a secure data sharing application), Tether Education (digital learning access), and Tether Evolution (emerging technologies at the intersection of innovation and human capability).