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AI Research Engineer (Agentic Reinforcement Learning) - 100% Remote Worldwide
Contract type
Ongoing
Work mode
Remote · Worldwide
Experience
3 years
Job description
Research role on Tether's AI model team focused on multi-modal reinforcement learning, developing RL algorithms, infrastructure and reward modeling for multimodal models such as diffusion and autoregressive architectures.
At a glance
- Work mode
- Remote · Worldwide
- Languages
- English – fluent
What you'll do
- Conduct research on reinforcement learning algorithms for multimodal models, including diffusion-based approaches for image, 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 (SOTA) performance.
- Publish research findings in top-tier conferences such as ICML, NeurIPS, ICLR, CVPR, ICCV, ECCV etc.
What we're looking for
- A Master's degree in Computer Science or a related field is required.
- Proven experience running large-scale reinforcement learning experiments in multimodal and vision-centric systems, including online RL settings, with demonstrated impact on domain-specific decision-making and measurable improvements in policy performance.
- Deep understanding of reinforcement learning algorithms and optimization methods applied to vision and multimodal learning problems, with a focus on improving policy stability, exploration, and sample efficiency in complex, high-dimensional environments involving images, video, and other modalities.
- Strong proficiency in PyTorch and deep learning frameworks for vision and multimodal AI, with hands-on experience building end-to-end RL pipelines covering simulation, training, evaluation, and deployment in production-grade systems.
- Demonstrated ability to apply empirical research to solve core RL challenges in multimodal and vision tasks, such as sample inefficiency, exploration-exploitation tradeoffs, and training instability, along with experience designing robust evaluation frameworks and iterating on algorithmic improvements to advance agent performance.
- Proven track record of research publications in top-tier conferences such as ICML, NeurIPS, ICLR, CVPR, ICCV, ECCV etc.
- Excellent English communication skills.
Nice to have
- A PhD in Machine Learning, NLP, Computer Vision, or a closely related discipline is preferred, along with a strong track record of AI research and publications in top-tier conferences.
Your team
AI model team
Team driving innovation in multi-modal reinforcement learning to advance next-generation intelligent systems.
Apply
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About Tether Operations Limited
Join Tether and Shape the Future of Digital Finance
Tether builds products including the stablecoin USDT and digital asset tokenization services, alongside Tether Power (sustainable energy solutions for Bitcoin mining), Tether Data (AI and peer-to-peer technology such as KEET), Tether Education, and Tether Evolution.
Mission
Pioneering a global financial revolution by empowering businesses to seamlessly integrate reserve-backed tokens across blockchains.
Key facts
- Digital finance / blockchain
- Our team is a global talent powerhouse, working remotely from every corner of the world.
- We've grown fast, stayed lean, and secured our place as a leader in the industry.
- USDT is relied upon by hundreds of millions worldwide.
What they value
- Transparency is the bedrock of everything we do, ensuring trust in every transaction.