AI Research Engineer - Reinforcement Learning
Tasks
- Build reinforcement learning experiments
- Define success metrics for deployed systems
- Design reinforcement learning algorithms
- Develop simulation environments
- Document experimental findings
- Explore reinforcement learning methodologies and model architectures
- Improve policy performance and convergence
- Integrate reinforcement learning agents into production
- Monitor deployed reinforcement learning systems
- Optimize reinforcement learning pipelines
Perks/Benefits
- Career growth opportunities
- Flexible work culture
- Fully remote work
- Global collaboration opportunities
Skills/Tech-stack
Actor-critic | Benchmarking | Convergence Stability | Deep reinforcement learning | Experiment tracking | Exploration/exploitation | Multimodal AI | NLP | Online Reinforcement Learning | Policy Gradient | Policy Optimization | PyTorch | Reinforcement Learning | Reward Optimization | Sample efficiency | Simulation | Training data
Education
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