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 reinforcement learning agents into production systems
- Optimize policies for decision making
- Run controlled experiments and evaluate benchmarks
Perks/Benefits
- Autonomy and innovation
- Flexible working culture
- Fully remote
- Global team collaboration
- Research exposure
Skills/Tech-stack
Actor-critic | Benchmarking | Experiment design | Exploration/exploitation | Exploration/exploitation tradeoffs | Machine Learning | Multimodal Learning | Online Learning | Policy Optimization | Policy gradients | PyTorch | Reinforcement Learning | Reward Optimization | Sample efficiency | Simulation | Text Image Audio | Training Convergence
Education
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