AI Research Engineer (Multi-Modal Reinforcement Learning)
Tasks
- Analyze model behavior across modalities
- Conduct reinforcement learning research for multi modal systems
- Create and curate simulation environments and datasets
- Design and build reinforcement learning infrastructure for distributed training
- Design and execute evaluation protocols
- Develop reward modeling strategies
- Explore next-generation reinforcement learning paradigms
- Publish research in leading AI conferences
Perks/Benefits
- Access to Experimentation Infrastructure
- Autonomy
- Fully remote
- Innovation culture
- Remote Global Work Environment
- Research publication support
Skills/Tech-stack
Autoregressive models | Deep learning | Diffusion Models | Distributed Training | Evaluation protocols | Experimentation Frameworks | Machine Learning | Multi-Modal | Multi-modal AI | PyTorch | Reinforcement Learning | Reward Modeling | Simulation Environments
Education
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