AI Research Engineer (Multi-Modal Reinforcement Learning)
Tasks
- Analyze model behavior across modalities
- Build scalable reinforcement learning infrastructure
- Create simulation environments and datasets
- Design evaluation protocols
- Develop reward modeling strategies
- Explore next-generation reinforcement learning paradigms
- Publish research in leading AI conferences
- Research multi modal reinforcement learning methods
Perks/Benefits
- Autonomy
- Fully remote
- Global work environment
- Innovation culture
- Research publication support
- Research resources
Skills/Tech-stack
Deep learning | Distributed Training | Evaluation | Machine Learning | Multi-Modal | Multi-Modal Learning | PyTorch | Reinforcement Learning | Reward Modeling | Simulation
Education
Roles
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