AI Engineer
Core
Design, train, and fine-tune TTS and STT models to power real-time conversational interaction for a health-tech product, ensuring low-latency, production-grade performance.
Role type
Senior IC machine-learning engineer (speech/audio)
Builds
Real-time voice and language layer for Brain Buddy
Domain
Health-tech, speech processing, conversational AI
Deliverable
production ML models
Required skills
TTS/STT model training and fine-tuning, adapting commercial/foundation models for production, low-latency inference architecture, modern ML frameworks (PyTorch/TensorFlow), cloud deployment optimization, large-scale distributed computing
Preferred skills
Experience with conversational quality evaluation methodologies, cost/performance inflection point planning
Technologies
PyTorch, TensorFlow
Responsibilities
Design and train TTS/STT models for real-time interaction, adapt commercial models for low-latency pipelines, improve model accuracy and scalability under load, build evaluation methodologies for speech quality, resolve inference bottlenecks, collaborate with product and infrastructure teams for deployment
Seniority
Senior, hands-on IC