AI Research Engineer - Reinforcement Learning
Tasks
- Build reinforcement learning experiments
- Define RL success metrics
- Design reinforcement learning algorithms
- Develop simulation environments
- Document research findings
- Explore reinforcement learning research methodologies
- Improve policy performance and convergence
- Integrate reinforcement learning agents into production systems
- Monitor deployed reinforcement learning systems
- Optimize reinforcement learning pipelines
Perks/Benefits
- Career growth opportunities
- Continuous learning
- Flexible work culture
- Fully remote
- International collaboration
Skills/Tech-stack
Actor-critic | Artificial Intelligence | Computational Efficiency | Computer Vision | Exploration/exploitation | Group Relative Policy Optimization | Language Processing | Machine Learning | Multimodal AI | Natural Language | Natural Language Processing | Online Reinforcement Learning | Policy Optimization | Policy gradients | PyTorch | Reinforcement Learning | Sample efficiency | Simulation | Training stability
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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