AI Research Engineer - Reinforcement Learning
Tasks
- Build and run large scale reinforcement learning experiments
- Define RL success metrics and monitor robustness
- Design reinforcement learning algorithms for decision making
- Develop simulation environments and training datasets
- Document experimental findings
- Explore reinforcement learning methodologies and model architectures
- Improve policy performance and sample efficiency
- Integrate reinforcement learning agents into production systems
- Optimize reinforcement learning pipelines
Perks/Benefits
Skills/Tech-stack
Actor-critic | Deep learning | Exploration/exploitation | Group Relative Policy Optimization | Language Processing | Machine Learning | Multi-Modal | Natural Language | Natural Language Processing | Online Reinforcement Learning | Policy Optimization | Policy gradients | PyTorch | Reinforcement Learning | Reward Optimization | Sample efficiency | Simulation Environments | Training frameworks
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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