AI Research Engineer - Reinforcement Learning
Tasks
- Build reinforcement learning experiments
- Create simulation environments
- Define success metrics for deployed RL systems
- Develop reinforcement learning algorithms
- Document research findings
- Evaluate reinforcement learning models
- Integrate RL agents into production systems
- Monitor deployed RL systems
- Optimize reinforcement learning pipelines
Perks/Benefits
Skills/Tech-stack
Actor-critic | Convergence Stability | Deep learning | Exploration/exploitation | Language Processing | Machine Learning | Model architectures | Multi-Modal | Multi-modal AI | Natural Language | Natural Language Processing | Online Reinforcement Learning | Policy Optimization | Policy gradients | PyTorch | Reinforcement Learning | Reinforcement learning pipelines | Resource Efficient Model Architectures | Sample efficiency | Simulation Environments | Training Datasets
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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