AI Research Engineer - Reinforcement Learning
Tasks
- Build reinforcement learning experiments
- Create simulation environments
- Define success metrics for deployed reinforcement learning
- Design reinforcement learning algorithms
- Develop reinforcement learning pipelines
- Document research findings
- Evaluate reinforcement learning results
- Improve policy convergence stability
- Integrate reinforcement learning agents into production
- Optimize exploration strategies
Perks/Benefits
- Career growth opportunities
- Flexible work culture
- Fully remote work
- Global collaboration opportunities
Skills/Tech-stack
Actor-critic | Computational Efficiency | Exploration/exploitation | Language Processing | Multi-Modal | Natural Language | Natural Language Processing | Online Reinforcement Learning | Policy Optimization | Policy gradients | PyTorch | Reinforcement Learning | Sample efficiency | Training frameworks
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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