AI Research Engineer - Reinforcement Learning
Tasks
- Build simulation environments
- Define success metrics
- Design reinforcement learning algorithms
- Develop reinforcement learning experiments
- Document research findings
- Improve policy performance
- Integrate reinforcement learning agents into production
- Monitor deployed reinforcement learning systems
- Optimize reinforcement learning pipelines
Perks/Benefits
- Career growth opportunities
- Continuous learning
- Flexible work culture
- Fully remote work
- Global collaboration opportunities
- Technical ownership
Skills/Tech-stack
Actor-critic | Exploration Exploitation Tradeoff | Exploration/exploitation | Language Processing | Learning algorithms | Machine Learning | Multi-Modal | Multi-modal AI | Natural Language | Natural Language Processing | Online Reinforcement Learning | Policy Optimization | Policy gradients | PyTorch | Reinforcement Learning | Reinforcement learning algorithms | Sample efficiency
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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