AI Research Engineer - Reinforcement Learning
Tasks
- Build simulation environments
- Curate training datasets
- Debug reinforcement learning pipelines
- Define evaluation frameworks
- Design reinforcement learning algorithms
- Evaluate outcomes against benchmarks
- Integrate RL agents into production systems
- Monitor deployed systems
- Optimize RL training for stability
- Optimize policy optimization
- Run controlled experiments
- Track performance metrics
Perks/Benefits
Skills/Tech-stack
Actor-critic | Benchmarking | Exploration/exploitation | Model Evaluation | Online Reinforcement Learning | Policy Optimization | Policy gradients | PyTorch | Reinforcement Learning | Reward Optimization | Sample efficiency | Simulation | Training pipelines
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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