ML Researcher (AI)

Location: Hong Kong or Remote

Company

hirify.global develops hirify.global Playground, an interactive active-play system using technology and natural body motion to help families move and play together, with safety and privacy as core considerations.

What you will do

• Develop novel machine learning models and algorithms for computational perception and interaction.
• Design and execute rapid experiments to validate new ideas and methods.
• Explore computer vision, audio processing, sensor fusion, and related areas.
• Collaborate with ML Engineers to integrate research outcomes into training pipelines and production systems.
• Measure experimentation velocity and the number and quality of validated experiments per quarter.
• Contribute to research planning, technical roadmaps, documentation, and communication of findings.

Requirements

• 2+ years of hands-on ML research experience in industry, academia, or research labs.
• A 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.
• Familiarity with data preprocessing, augmentation, and management for ML workflows.
• Experience presenting research findings to technical audiences.

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.
• Contributions to open-source ML projects or released research code.
• Experience collaborating with engineers to productionize research outcomes.
• Familiarity with training pipelines, experiment tracking, and MLOps.
• Background in edge computing, on-device ML, or resource-constrained environments.
• Experience with cameras, microphones, IMUs, or haptic systems.
• Knowledge of privacy-preserving ML, federated learning, or on-device data processing.

Culture & Benefits

• Flexible working hours and vacation policy.
• Product-driven culture supporting talent and individual growth.
• Hands-on experience with cutting-edge technologies in the gaming field.
• Collaboration with colleagues across different time zones; occasional travel may be required for company events, external meetings, and other business activities.