AI Research Engineer - Reinforcement Learning
Tasks
- Build evaluate and monitor large scale reinforcement learning experiments
- Define success metrics and monitor deployed reinforcement learning systems
- Design reinforcement learning algorithms to optimize decision making
- Develop simulation environments and training datasets
- Document experimental findings and research outcomes
- Explore new reinforcement learning methodologies and model architectures
- Improve policy performance convergence stability and sample efficiency
- Integrate reinforcement learning agents into production systems
- Optimize reinforcement learning pipelines for exploration stability and efficiency
Perks/Benefits
Skills/Tech-stack
Actor-critic | Exploration Exploitation Tradeoff | Exploration/exploitation | Machine Learning | Multi-Modal | Multi-Modal Learning | NLP | Online Reinforcement Learning | Policy Optimization | Policy gradients | PyTorch | Reinforcement Learning | Simulation
Education
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