AI Research Engineer (Multi-Modal Reinforcement Learning)
About the role
AI Research Engineer (Multi-Modal Reinforcement Learning) - 100% Remote Worldwide. Research reinforcement learning algorithms for multimodal models, curate multimodal simulation environments and training datasets, and improve baseline policy performance.
What you'll do
- Research reinforcement learning algorithms for multimodal models, including diffusion-based and autoregressive approaches.
- Curate multimodal simulation environments and training datasets.
- Improve baseline policy performance across modalities.
- Identify and resolve bottlenecks in multimodal learning and reward optimization.
Requirements
- A master's degree in Computer Science or a related field is required. A PhD is preferred, with publications in top-tier conferences.
- Proven experience running large-scale reinforcement learning experiments in multimodal and vision-centric systems, including online RL.
- Demonstrated impact on domain-specific decision-making and measurable policy improvements.
About Tether
Tether builds reserve-backed digital tokens and hires research engineers for multimodal reinforcement learning.
AI Alerts shares third-party job opportunities for informational purposes only. We are not the employer and are not involved in the hiring process. Always verify the company and role through official channels before applying, and never pay to apply, train, onboard, process documents, or secure a job offer. Legitimate employers do not ask applicants for money. Read our Terms to learn more.