Intern – AI Algorithm Development
THB 249K-249K (estimate) Entry-level Internship
Tasks
- Analyze model performance convergence and win rate
- Benchmark and compare AI strategies
- Define reward functions
- Define state space and action space
- Design learning policies
- Design reinforcement learning agents
- Develop training pipelines and learning loops
- Document algorithm design experimental results and insights
- Optimize model parameters and learning efficiency
- Present findings to stakeholders
Perks/Benefits
Skills/Tech-stack
Algorithms and Data Structures | Data Structures | Deep Q-Network | Function design | Linear Algebra | Machine Learning | Model Training | Model Training and Evaluation | Optimization Techniques | Performance Benchmarking | Policy Gradient | Probability | PyTorch | Python | Q-learning | Reinforcement Learning | Reward Function | Reward function design | SARSA | Simulation Environments | Statistics | TensorFlow | Training and evaluation
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
AI | AI Research Intern | Intern | Learning Intern | Machine Learning Intern | Research Intern
Regions
Countries
States
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