AI Research Engineer

About the job

Role Overview As an AI Research Engineer, you’ll design and develop machine learning systems that can understand and evaluate human performance — starting with sound (music, speech) and later expanding to vision (movement, gestures). Key Responsibilities • Research, design, and train AI models for real-time performance evaluation across domains (music first, then dance / speech / chess). • Implement and optimize deep learning architectures for audio and / or visual understanding (CNNs, RNNs, Transformers). • Work closely with Audio / Vision Engineers to build data pipelines for clean, real-time feature extraction (spectrograms, keypoints, pose sequences). • Collaborate with SMEs to define “performance quality” metrics and label datasets. • Develop evaluation frameworks to quantify model accuracy vs. expert feedback. • Experiment with cross-modal fusion (audio + vision) for synchronized analysis in future domains like dance. • Optimize models for low-latency inference on web / mobile devices (ONNX, TensorRT, TF Lite). • Document research findings, prototype outcomes, and contribute to internal knowledge-sharing.

Requirements

• Machine Learning
• Deep Learning
• Python
• Audio Processing
• Computer Vision

Qualifications

• Master's or Bachelor's degree in relevant field (not specified)
• 3+ years of hands-on experience in Machine Learning / Deep Learning

Preferred Technologies

• Machine Learning
• Deep Learning
• Python
• Audio Processing
• Computer Vision

Benefits

• Competitive compensation
• Equity options
• Global career visibility

About the company

TalentGum is transforming extracurricular learning for children aged 5–14 years through engaging live online courses in music, dance, chess, and public speaking. Their mission is to build the next generation of learning intelligence — an AI-driven platform that can observe, understand, and help children improve their creative and cognitive skills.