AI Developer

Lead AI Developer - Emotion AI & Music Generation
Skitii | Hybrid | Equity-BasedAbout SkitiiSkitii is a patented adaptive music therapy platform focused on oncomental healthcare. We use AI to create personalized therapeutic music experiences for cancer patients and their mental health needs.Role OverviewWe're seeking an AI Developer to enhance our core AI systems:- Emotion AI Model: Improve emotion recognition and regulation capabilities- Music Generation AI: Advance our therapeutic music creation algorithmsThis is a hybrid position offering equity compensation as we build the future of AI-powered healthcare. Key Responsibilities- Develop and optimize emotion recognition models using computer vision and other AI techniques- Enhance our generative AI music models for therapeutic applications- Implement emotion regulation algorithms that adapt music therapy in real-time- Collaborate on model training, validation, and deployment- Research new approaches in emotion AI and music generation- Ensure models meet healthcare compliance and accuracy standards Required Skills- Strong background in machine learning and deep learning- Experience with emotion recognition systems and computer vision- Knowledge of generative AI for music or audio- Python proficiency (TensorFlow, PyTorch, or similar)- Understanding of emotion regulation principles- Experience with model optimization and deploymentPreferred Qualifications- Background in healthcare AI or therapeutic applications- Experience with audio processing and music information retrieval- Knowledge of mental health and oncology contexts- Previous work with adaptive AI systems- Publications in relevant AI/ML domains## What We Offer- Equity stake in a pioneering healthtech company- Flexible hybrid work arrangement- Opportunity to impact cancer patient care- Collaborative research environment- Growth potential as we scale## How to ApplySend your resume and a brief note about your experience with emotion AI and music generation to [contact email].Include any relevant projects, papers, or demos showcasing your work in these areas.