AI Research Engineer - Reinforcement Learning
Tasks
- Build simulation environments
- Define success metrics for deployed systems
- Design reinforcement learning algorithms
- Document research findings
- Implement reinforcement learning pipelines
- Improve policy performance
- Integrate reinforcement learning agents into production systems
- Monitor deployed reinforcement learning systems
- Optimize exploration strategies
- Run and evaluate reinforcement learning experiments
Perks/Benefits
- Career growth opportunities
- Flexible work culture
- Fully remote work
- Global collaboration opportunities
Skills/Tech-stack
Actor-critic | Deep learning | Exploration Exploitation Tradeoff | Exploration/exploitation | Language Processing | Large-scale | Large-scale experimentation | Machine Learning | Multi-Modal | Multi-modal Systems | Natural Language | Natural Language Processing | Online Reinforcement Learning | Policy Optimization | Policy gradients | PyTorch | Reinforcement Learning
Education
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