AI Research Engineer - Reinforcement Learning
Tasks
- Build simulation environments
- Create training datasets
- Debug reinforcement learning pipelines
- Define evaluation frameworks
- Design reinforcement learning algorithms
- Integrate reinforcement learning agents into production systems
- Monitor deployed systems
- Optimize policy performance
- Optimize training convergence
- Run controlled experiments
- Track performance metrics
Perks/Benefits
Skills/Tech-stack
Actor-critic | Experiment design | Exploration/exploitation | Model Evaluation | Multimodal Learning | Neural Networks | Online Reinforcement Learning | Policy Optimization | Policy gradients | PyTorch | Reinforcement Learning | Reward Optimization | Sample efficiency | Simulation | Text Image Audio | Training Convergence | Training pipelines
Education
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