AI Research Engineer (Multi-Modal Reinforcement Learning)
Tasks
- Analyze model behavior across modalities
- Create simulation environments and datasets
- Design and build scalable RL infrastructure
- Develop reward modeling strategies
- Execute evaluation protocols for reproducibility
- Explore next-generation RL paradigms
- Publish research in leading AI conferences
- Research reinforcement learning methods for multimodal systems
Perks/Benefits
Skills/Tech-stack
Deep learning | Distributed Training | Evaluation protocols | Experimentation Frameworks | Exploration Exploitation Tradeoff | Exploration/exploitation | Machine Learning | Multi-Modal | Multi-modal AI | Optimization | Policy learning | PyTorch | Reinforcement Learning | Reward Modeling | Sample efficiency | Simulation Environments | Training stability
Education
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