ML Researcher (Gaming)

TL;DR

ML Researcher (Gaming): Developing novel machine learning models and algorithms for computational perception and interaction on hirify.global Playground with an accent on computer vision, audio processing, and sensor fusion. Focus on designing and executing rapid experiments to expand platform sensing and multimodal interaction capabilities.

Location: Hong Kong or Remote

Company

hirify.global creates the hirify.global Playground, an active play system that combines technology and play to encourage families to move more through motion gaming.

What you will do

• Develop novel ML models and algorithms for computational perception and interaction.
• Design and execute rapid experiments to validate new ideas and methods.
• Explore advancements in computer vision, audio processing, and sensor fusion.
• Collaborate with ML Engineers to integrate research outcomes into training pipelines and production systems.
• Measure and track experimentation velocity and the quality of validated experiments.
• Contribute to research planning and help define the technical roadmap.

Requirements

• 2+ years of hands-on ML research experience in industry, academia, or research labs.
• Demonstrable track record of designing and conducting ML experiments from hypothesis to validation.
• Proficiency in Python for ML research and experimentation.
• Deep expertise with PyTorch or TensorFlow for model development.
• Experience training and evaluating ML models on real datasets.
• Understanding of model evaluation metrics, experimental design, and statistical validation.

Nice to have

• Expertise in real-time inference, model optimization, or efficient architectures.
• Experience with self-supervised learning, few-shot learning, or foundation models.
• Background in multimodal learning combining vision, audio, and sensor data.
• Familiarity with MLOps, training pipelines, and experiment tracking.
• Experience with edge computing, on-device ML, or resource-constrained environments.

Culture & Benefits

• Competitive compensation package.
• Flexible working hours and vacation policy.
• Product-driven culture that treasures talent and individual growth.
• Hands-on experience with cutting-edge technologies in the evolving gaming field.