AI Research Engineer - Reinforcement Learning
Tasks
- Build reinforcement learning experiments
- Build training datasets
- Define success metrics for deployed systems
- Design reinforcement learning algorithms
- Develop simulation environments
- Document experimental findings
- Evaluate reinforcement learning experiments
- Implement reinforcement learning algorithms
- Integrate reinforcement learning agents into production systems
- Monitor deployed reinforcement learning systems
- Optimize reinforcement learning pipelines
Perks/Benefits
Skills/Tech-stack
Actor-critic | Convergence | Deep reinforcement learning | Experimentation | Exploration/exploitation | Multi-Modal | Multi-Modal Learning | Online Reinforcement Learning | Policy Divergence | Policy Optimization | Policy gradients | PyTorch | Reinforcement Learning | Reward Optimization | Sample efficiency
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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