Full-stack AI engineer
Core
Building a precision mental wellness platform that maps cognitive patterns, predicts emotional states, and delivers adaptive conversational AI interventions.
Role type
Senior IC machine-learning engineer (multimodal AI & NLP)
Builds
Voice-based pattern detection models, predictive analytics for cognitive activation, and 'Cognitive Twin' digital models
Domain
Mental health technology + Multimodal AI (voice, wearables, NLP)
Deliverable
production ML models
Required skills
Python, PyTorch/TensorFlow/JAX, NLP (transformers, LLMs, speech recognition), model serving, A/B testing, ETL architecture, model monitoring
Preferred skills
Experience with wearable data integration (HRV, sleep, movement), longitudinal trajectory modeling, clinical domain knowledge
Technologies
PyTorch, TensorFlow, JAX, LLMs, speech recognition, ETL pipelines
Responsibilities
Design, train, and deploy ML models for pattern recognition and prediction; Build scalable real-time inference systems; Architect data pipelines for voice transcripts and wearable data; Monitor model performance and implement continuous improvements; Collaborate with clinical and product teams to translate mental health science into production AI
Seniority
Senior, hands-on IC