AI Research Engineer - Reinforcement Learning
Tasks
- Build simulation environments and training datasets
- Debug and optimize RL training pipelines
- Define evaluation frameworks and monitor deployed systems
- Design and implement reinforcement learning algorithms
- Integrate RL agents into production systems
- Optimize policies for decision making
- Run controlled experiments and evaluate benchmarks
Perks/Benefits
- Flexible working culture
- Fully remote work
- Global team collaboration
- High impact production influence
- Work on cutting-edge AI research
Skills/Tech-stack
Actor-critic | Experiment design | Exploration/exploitation | Model Evaluation | Multimodal Learning | Online Reinforcement Learning | Policy Optimization | Policy gradients | PyTorch | Reinforcement Learning | Reward Optimization | Sample efficiency | Simulation | Text Image Audio | Training pipelines
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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