Research Intern – Reinforcement Learning for Large Foundation Models
Singapore-CapitaSky
SGD 60K-60K (estimate) Entry-level Internship Part Time
Tasks
- Apply proximal policy optimization to LLM training
- Build reinforcement learning pipelines for long horizon autonomous agents
- Debug reinforcement learning training instability at scale
- Design reinforcement learning training recipes for large reasoning models
- Develop reward signals and regularization for reinforcement learning
- Read critique and extend research papers
Perks/Benefits
- N/A
Skills/Tech-stack
DPO | DeepSpeed | Distributed Training | Entropy Regularization | FSDP | GPU Training | GRPO | LLM post training | Megatron | Model Merging | Multi-GPU | Multi-GPU Training | Policy Optimization | Policy gradients | Post-training | Proximal Policy Optimization | PyTorch | Python | RLHF | Reinforcement Learning | Reward Modeling | Reward shaping
Education
Roles
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