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
- Integrate reinforcement learning agents into production
- Monitor deployed reinforcement learning performance
- Optimize reinforcement learning pipelines
Perks/Benefits
- Career growth opportunities
- Continuous learning opportunities
- Flexible work culture
- Fully remote
- Global collaboration
Skills/Tech-stack
Actor-critic | End to End | End-to-end training | Exploration/exploitation | GRPO | Language Processing | Machine Learning | Multimodal AI | Natural Language | Natural Language Processing | Online Reinforcement Learning | Policy Optimization | Policy gradients | PyTorch | Reinforcement Learning | Resource-efficient models | Reward Optimization | Sample efficiency | Simulation Environment
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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