AI Research Engineer (Multi-Modal Reinforcement Learning) - 100% Remote Worldwid
Tether Operations Limited
WorldwideremotePosted 2 months ago
Skill Required
AI-Research-and-EngineeringMachine-Learning-ResearchReinforcement-LearningMultimodal-AIComputer-Vision-ResearchAI-ML-Research-EngineerML-AI-Research-EngineerAI-Research-EngineerSenior-AI-Research-EngineerResearch-EngineerAI EngineerAIMachine LearningComputer Visionrelated fieldBlockchainData StructuresdesigningbuildingfintechdesignRustNLPandFulltime
Role overview
As a member of Tether’s AI model team, you will drive innovation in multi‑modal reinforcement learning to advance next‑generation intelligent systems. Your work will focus on optimizing decision‑making and adaptive behavior across integrated data modalities such as text, images, and audio to deliver enhanced intelligence, robust performance, and domain‑specific capabilities for real‑world challenges.
Responsibilities
- Conduct research on reinforcement learning algorithms for multimodal models, including diffusion‑based approaches for image autoregressive models 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, ECCV etc.
Requirements
- A Master’s degree in Computer Science or a related field is required; 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.
- 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.
Benefits
- Remote work from anywhere worldwide
Additional details
- Join Tether and Shape the Future of Digital Finance: Tether is pioneering a global financial revolution with stablecoin USDT, tokenization services, sustainable Bitcoin mining, AI‑driven data sharing, and digital education.
- Tether’s product suite includes Tether Power, Tether Data with KEET, Tether Education and Tether Evolution, all focused on advancing technology and human potential.
- Tether’s team is a global talent powerhouse working remotely from every corner of the world, offering collaboration with bright minds and fast growth in the fintech space.
- Recruitment scams are a concern; candidates should apply only through official channels, verify recruiter identity via LinkedIn, avoid interviews over WhatsApp/Telegram/SMS, and never provide payment or personal financial information.
- All communications will come from official company emails ending in @tether.to or @tether.com.
- The role was originally posted on Himalayas.