AI Research Engineer - Reinforcement Learning
Tasks
- Build simulation environments and training datasets
- Debug and optimize reinforcement learning pipelines
- Define evaluation frameworks and monitor deployed systems
- Design and implement reinforcement learning algorithms
- Integrate RL agents into production systems
- Optimize policy performance in simulated and real world environments
- Run controlled experiments and evaluate against benchmarks
Perks/Benefits
- Flexible working culture
- Fully remote work
- Global team collaboration
- Research and innovation opportunities
Skills/Tech-stack
Actor-critic | Benchmarking | Deep learning | Exploration Strategy | Multimodal AI | Online Reinforcement Learning | Policy Evaluation | Policy Optimization | Policy gradients | PyTorch | Reinforcement Learning | Reward Optimization | Sample efficiency | Simulation | Training pipelines | Training stability
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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