AI Research Scientist — Multimodal Systems
Core
Design rigorous experiments and evaluation frameworks for multimodal AI systems (speech, audio, video, behavioral) to improve reliability, calibration, and explainability of coaching and scoring capabilities.
Role type
Applied AI Research Scientist (Multimodal Systems)
Builds
AI coaching and scoring capabilities for an interview and public-speaking coach product
Domain
EdTech / AI / Multimodal Systems
Deliverable
production ML models
Required skills
Applied AI research, Machine Learning, Python, PyTorch, TensorFlow, Speech processing, Audio analysis, Computer vision, NLP, Experimental design, Model evaluation, Statistics
Preferred skills
Master's or PhD, Publications, Patents, Responsible AI, Fairness, Privacy, Human-centred evaluation
Technologies
Python, PyTorch, TensorFlow
Responsibilities
Design experiments, benchmarks and evaluation frameworks; Improve reliability, calibration and explainability of scoring; Prototype new AI coaching capabilities; Work with engineering to productionise models; Investigate bias, failure modes and privacy risks; Document findings and recommendations
