AI Research Engineer - Reinforcement Learning
Tasks
- Build and evaluate reinforcement learning experiments
- Define success metrics for deployed reinforcement learning
- Design reinforcement learning algorithms for decision making
- Develop simulation environments and training datasets
- Document research findings and technical approaches
- Improve policy performance and sample efficiency
- Integrate reinforcement learning agents into production systems
- Monitor deployed reinforcement learning system performance
- Optimize reinforcement learning pipelines
Perks/Benefits
Skills/Tech-stack
Actor-critic | Exploration/exploitation | GRPO | Multi-Modal | NLP | Online Reinforcement Learning | Policy Optimization | Policy gradients | PyTorch | Reinforcement Learning | Reward Optimization | Sample efficiency | Simulation Environment
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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