AI Research Engineer - Reinforcement Learning
Tasks
- Build simulation environments
- Create training datasets
- Debug reinforcement learning pipelines
- Define evaluation frameworks
- Design reinforcement learning algorithms
- Evaluate against benchmarks
- Integrate RL agents into production systems
- Monitor deployed systems for robustness and scalability
- Optimize policy performance
- Optimize training stability and convergence
- Run controlled experiments
Perks/Benefits
Skills/Tech-stack
Actor-critic | Exploration Strategy | Model Deployment | Multimodal Learning | Online Reinforcement Learning | Policy Evaluation | Policy Optimization | Policy gradients | PyTorch | Reinforcement Learning | Reward engineering | Sample efficiency | Simulation Environments | Training pipelines
Education
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