ESSENTIAL DUTIES AND RESPONSIBILITIES:
AI Algorithm Development Intern (Reinforcement Learning Focus)
We are looking for an AI Algorithm Development Intern to design and develop a self-learning AI agent capable of improving its performance through repeated interactions.
This role provides hands-on experience in Artificial Intelligence, Reinforcement Learning, and adaptive decision-making systems. You will focus on designing learning algorithms, optimizing strategy performance, and analyzing model behavior through iterative experimentation.
This position emphasizes AI algorithm development and learning system design, not hardware or robotics development.
Responsibilities:
Design and implement a Reinforcement Learning-based AI agent capable of learning and improving over time
Define and structure:
State space
Action space
Reward functions
Learning policies
- Develop training pipelines and learning loops to enable performance improvement across repeated simulations
- Analyze model performance, convergence behavior, and win-rate optimization
- Experiment with different algorithms such as:
- Q-Learning
SARSA - Deep Q-Network (DQN)
- Policy-based methods
Optimize model parameters and improve learning efficiency
Conduct benchmarking and comparative evaluation of different AI strategies
Document algorithm design, experimental results, and learning insights
Present findings and performance improvements clearly to stakeholders
What You Will Gain:
- Hands-on experience in Reinforcement Learning and Game AI
- Practical exposure to AI experimentation and performance optimization
- Experience implementing AI models from scratch
- Opportunity to work on real-world adaptive decision systems
This position is part of our Early Career program at WD. Our Early Career program is designed to support individuals beginning their professional career by providing the foundational training through a structured onboarding, mentorship, and development curriculum.
