AI Research Engineer - Reinforcement Learning
Tasks
- Build and run large scale RL experiments
- Create simulation environments
- Define success metrics for RL systems
- Design reinforcement learning algorithms
- Develop RL systems for simulated and real world environments
- Document research findings
- Evaluate RL experiments and benchmarks
- Improve policy performance and stability
- Integrate RL agents into production systems
- Monitor deployed RL systems
- Optimize RL pipelines
Perks/Benefits
- Career growth opportunities
- Flexible work culture
- Fully remote work
- Global collaboration
- Innovation-focused environment
Skills/Tech-stack
Actor-critic | Exploration Explotation | Exploration Explotation Tradeoffs | Group Relative Policy Optimization | NLP | Online Reinforcement Learning | Policy Optimization | Policy gradients | Proximal Policy Optimization | PyTorch | Reinforcement Learning | Sample efficiency
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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