AI Research Engineer - Reinforcement Learning
Tasks
- Build simulation environments
- Build training pipelines
- Debug reinforcement learning pipelines
- Define evaluation frameworks
- Design reinforcement learning algorithms
- Evaluate models against benchmarks
- Integrate RL agents into production systems
- Monitor deployed systems
- Optimize policy performance
- Run controlled experiments
Perks/Benefits
- Autonomy and innovation
- Flexible work culture
- Fully remote
- Global team collaboration
- Research exposure
Skills/Tech-stack
Actor-critic | Exploration Strategy | Online Reinforcement Learning | Policy Optimization | Policy gradients | PyTorch | Reinforcement Learning | Reward Optimization | Sample efficiency | Training Convergence
Education
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