AI Research Engineer (Multi-Modal Reinforcement Learning)
Tasks
- Analyze model behavior across modalities
- 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 leading AI conferences
- Research reinforcement learning methods for multi modal systems
Perks/Benefits
- Access To Large Scale Experimentation Infrastructure
- Fully remote
- Global First Work Environment
- Innovation autonomy
- Research publication support
Skills/Tech-stack
Autoregressive models | Deep learning | Diffusion Models | Distributed Training | Machine Learning | Multi-Modal | Multi-modal AI | Optimization | PyTorch | Reinforcement Learning | Reproducible Research | Reward Modeling
Education
Roles
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