AI Research Engineer (Multi-Modal Reinforcement Learning)
Tasks
- Analyze model behavior across modalities
- Conduct research on reinforcement learning methods for multi modal systems
- Create simulation environments and datasets
- Design and build scalable RL infrastructure for distributed training and evaluation
- Design and execute evaluation protocols
- Develop reward modeling strategies
- Explore next-generation RL paradigms
- Publish research in top AI conferences
Perks/Benefits
Skills/Tech-stack
Autoregressive models | Computer Vision | Deep learning | Diffusion Models | Distributed Training | Evaluation | Machine Learning | Multi-Modal | Multi-Modal Learning | NLP | Optimization | Policy learning | PyTorch | Reinforcement Learning | Reward Hacking | Reward Modeling | Simulation
Education
Roles
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