AI Research Engineer - Reinforcement Learning
Tasks
- Build simulation environments
- Define success metrics for deployed systems
- Design reinforcement learning algorithms
- Develop training datasets
- Document experimental findings
- Evaluate reinforcement learning performance
- Implement reinforcement learning pipelines
- Integrate reinforcement learning agents into production systems
- Monitor reward signal stability
- Optimize exploration strategies
- Run reinforcement learning experiments
Perks/Benefits
Skills/Tech-stack
Actor-critic | Computer Vision | Deep learning | Exploration/exploitation | Language Processing | Machine Learning | Multi-Modal | Natural Language | Natural Language Processing | Online Reinforcement Learning | Policy Gradient | Policy Optimization | PyTorch | Reinforcement Learning | Sample efficiency
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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