Intern – AI Algorithm Development (Studying Bachelor Degree)
Tasks
- Analyze model performance convergence behavior win rate optimization
- Benchmark and evaluate AI strategies
- Define state space action space reward functions learning policies
- Design reinforcement learning AI agent
- Develop training pipelines and learning loops
- Document algorithm design experimental results and learning insights
- Optimize model parameters and improve learning efficiency
- Present findings to stakeholders
Perks/Benefits
Skills/Tech-stack
Algorithms | Benchmarking | Data Structures | Deep Q-Network | Function design | Game AI | Linear Algebra | Machine Learning | Model Evaluation | Model Training | Model Tuning | Optimization | Policy Gradient | Probability | PyTorch | Python | Q-learning | Reinforcement Learning | Reward Function | Reward function design | SARSA | Simulation | Statistics | TensorFlow
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
Regions
Countries
States
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