AI Research Engineer - Reinforcement Learning
Tasks
- Build reinforcement learning experiments
- Curate training datasets
- Define success metrics for deployed systems
- Design reinforcement learning algorithms
- Develop simulation environments
- Document research findings
- Evaluate benchmark results
- Implement reinforcement learning systems
- Improve policy convergence stability
- Integrate reinforcement learning agents into production systems
- Monitor deployed reinforcement learning systems
- Optimize reinforcement learning pipelines
- Resolve exploration strategy issues
Perks/Benefits
- Career growth opportunities
- Flexible work culture
- Fully remote work
- Global collaboration opportunities
Skills/Tech-stack
Actor-Critic methods | Actor-critic | Benchmarking | Convergence | Experimentation | Exploration/exploitation | Language Processing | Machine Learning | Model Training | Multi-Modal | Natural Language | Natural Language Processing | Policy Optimization | Policy gradients | PyTorch | Reinforcement Learning | Reward Optimization | Sample efficiency
Education
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