AI Research Engineer - Reinforcement Learning
Tasks
- Build simulation environments
- Curate training datasets
- Debug reinforcement learning pipelines
- Define evaluation frameworks
- Design reinforcement learning algorithms
- Evaluate models against benchmarks
- Improve exploration strategy
- Integrate RL agents into production systems
- Monitor deployed systems for robustness
- Optimize policy performance
- Run controlled experiments
- Stabilize reward and training
Perks/Benefits
- Autonomy and innovation
- Flexible working culture
- Fully remote
- Global team collaboration
- Work on cutting-edge AI research
Skills/Tech-stack
Actor-critic | Benchmarking | Exploration/exploitation | Machine Learning | Online Reinforcement Learning | Policy Optimization | Policy gradients | PyTorch | Python | Reinforcement Learning | Reward Stability | Sample efficiency | Simulation Environments | Training Convergence | Training pipelines
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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