AI Research Engineer - Reinforcement Learning
Tasks
- Build simulation environments
- Define success metrics for deployed systems
- Design reinforcement learning algorithms
- Document experimental findings
- Implement reinforcement learning systems
- Improve policy performance
- Integrate reinforcement learning agents into production
- Monitor deployed reinforcement learning
- Optimize reinforcement learning pipelines
- Run reinforcement learning experiments
Perks/Benefits
- Career growth opportunities
- Continuous learning
- Flexible work culture
- Fully remote work
- Global collaboration opportunities
Skills/Tech-stack
Actor-critic | Deep learning | Exploration/exploitation | Group Relative Policy Optimization | Language Processing | Machine Learning | Model Architecture | Multimodal AI | Natural Language | Natural Language Processing | Online Reinforcement Learning | Policy Gradient | Policy Optimization | PyTorch | Reinforcement Learning | Reinforcement learning pipelines | Sample efficiency | Simulation Environments | Training frameworks
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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