AI Research Engineer (Multi-Modal Reinforcement Learning)

Tasks

• Analyze model behavior across modalities
• Conduct multi modal reinforcement learning research
• Create simulation environments and datasets
• Design scalable RL infrastructure for distributed training
• Develop next generation RL paradigms
• Develop reward modeling strategies
• Execute evaluation protocols for reproducible experiments
• Publish research in top AI conferences

Perks/Benefits

• Autonomy
• Fully remote work environment
• Innovation culture
• Research publication support

Skills/Tech-stack

Audio Processing | Computer Vision | Deep learning | Distributed Training | Language Processing | Machine Learning | Multi-Modal | Multi-modal AI | Natural Language | Natural Language Processing | PyTorch | Reinforcement Learning | Reproducible Research | Reward Modeling | Simulation