Game Developer- Squash

Role Description:

Key Responsibilities

Squash Expertise & Rule Implementation
Provide in-depth knowledge of squash rules, including let calls, strokes, and faults.
Define edge cases and scenarios where AI-based refereeing could be ambiguous.
Develop with engineers to translate game rules into system logic.

AI & Computer Vision Implementation/Testing
Evaluate real-time ball tracking, player positioning, and contact detection.
Validate AI-driven decision-making against real match footage.
Work with computer vision engineers to fine-tune motion tracking models.

Data Analysis & Model Improvement
Analyze match data and decision accuracy metrics (e.g., precision, recall).
Suggest ways to enhance ball speed detection, player interactions, and referee inputs.
Work with data engineers to refine ML models for squash gameplay understanding.

Collaboration & Feedback
Provide continuous feedback to developers and product managers.
Help design the user interface (UI) and user experience (UX) for referees.

Assist in creating testing frameworks for AI referee training.

Qualifications:
Bachelor's degree in computer science, Engineering, or a related field.
Experience as a professional player, coach, or referee is highly preferred.
Technical expertise in sports engineering, AI, or computer vision applications.
Hands-on experience with video analysis tools, motion tracking, or sports analytics.
Ability to collaborate with AI/ML engineers and provide insights for system improvement.

Programming Skills:
Experience with Python or other scripting languages.
Knowledge of mathematical calculations, trajectory modeling, and decision logic.
Familiarity with computer vision frameworks (OpenCV, TensorFlow, PyTorch).
Understanding of object tracking, event detection, and motion analysis.

Nice-to-Have Skills
Experience with real-time sports analytics or game-based software.
Knowledge of AI-based decision-making tools in sports.
Familiarity with data annotation tools and processes.