AI Research Engineer (Multi-Modal Reinforcement Learning)
Tasks
- Analyze model behavior across modalities
- Conduct reinforcement learning research for multi modal systems
- Create simulation environments and datasets
- Design and build scalable RL infrastructure
- Design and execute evaluation protocols
- Develop reward modeling strategies
- Explore next-generation RL paradigms
- Publish research in AI conferences
Perks/Benefits
Skills/Tech-stack
Data Engineering | Deep learning | Distributed Training | Machine Learning | Model Evaluation | Multi-Modal | Multi-Modal Learning | PyTorch | Reinforcement Learning | Reward Modeling | Simulation
Education
Roles
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