AI Research Engineer (Agentic Reinforcement Learning) - 100% Remote Worldwide
Tether Operations Limited6 months ago
Remote, WorldwideSenior
Responsibilities
- Research reinforcement learning algorithms for diffusion-based, autoregressive, and unified multimodal models.
- Design and build scalable, distributed reinforcement learning infrastructure for multimodal systems.
- Develop reward modeling strategies that improve stability, align behavior, and mitigate reward hacking.
- Create and curate multimodal simulation environments and datasets for training, evaluation, and benchmarking.
- Design rigorous benchmarking and evaluation protocols across multimodal tasks.
- Optimize policy performance by addressing training bottlenecks, credit assignment, and cross-modal alignment.
- Investigate next-generation reinforcement learning paradigms that learn more effectively from environment feedback.
- Publish research findings in top-tier conferences including ICML, NeurIPS, ICLR, CVPR, ICCV, and ECCV.
Requirements
- A Master's degree in Computer Science or a related field is required; a PhD in Machine Learning, NLP, Computer Vision, or a related discipline is preferred.
- Proven experience running large-scale reinforcement learning experiments in multimodal and vision-centric systems, including online RL.
- Deep understanding of reinforcement learning algorithms and optimization for vision and multimodal learning, including policy stability, exploration, and sample efficiency.
- Strong proficiency in PyTorch and deep learning frameworks for vision and multimodal AI.
- Hands-on experience building end-to-end RL pipelines covering simulation, training, evaluation, and production deployment.
- Experience addressing sample inefficiency, exploration-exploitation tradeoffs, training instability, and other core RL challenges.
- Experience designing robust evaluation frameworks and iterating on algorithmic improvements.
- A strong track record of AI research and publications in top-tier conferences such as ICML, NeurIPS, ICLR, CVPR, ICCV, and ECCV.
Benefits
- 100% remote work worldwide.
- Opportunity to work on multimodal reinforcement learning and next-generation intelligent systems within Tether's global fintech and technology organization.
Tech Stack
Categories
AI Research
About Tether Operations Limited
Tether Operations Limited develops and issues reserve-backed digital tokens used by exchanges, wallets, payment processors, and merchants, most notably the USDT stablecoin available across multiple blockchains. Founded in 2014 and privately held, it earns revenue from token issuance, reserve management, and related services, and has expanded into tokenization, peer-to-peer communications (Keet), and Bitcoin mining. USDT is widely used in crypto trading and cross-border transfers, including in emerging markets.