Lead AI Developer - Emotion AI & Music Generation Skitii | Hybrid | Equity-Based About Skitii Skitii 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 Overview We'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 algorithms This 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 deployment Preferred 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 Apply Send 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.
As a Technical Lead at Skitii, you will be responsible for leading and mentoring a team of engineers to develop and deploy Emotion AI solutions. Your expertise in Computer Vision, AI, and Full Stack Development will be crucial in optimizing our AI models, scaling our infrastructure, and creating efficient development processes. By integrating Emotion AI solutions with other platforms, you will ensure seamless functionality across education and workplace environments, ultimately driving real-world impact. **Key Responsibilities:** - Lead and mentor a team of engineers to develop and deploy Emotion AI solutions. - Improve and optimize our AI models and tech stack, including React.js, React Native, Node.js, MongoDB, and AWS services (EC2, App Runner, Docker). - Create and implement efficient processes to enhance development speed, scalability, and reliability. - Integrate Emotion AI solutions with other platforms, ensuring seamless functionality across education and workplace environments. - Stay ahead of AI advancements and bring innovative solutions to improve model accuracy and system performance. - Define the technology roadmap in collaboration with leadership to align with business goals. **Requirements:** - 5+ years of experience in Full Stack Development (React.js, React Native, Node.js, MongoDB). - Strong expertise in Computer Vision and AI (Emotion AI, Facial Recognition, Object Detection). - Experience with AWS services (EC2, App Runner, Docker). - Proven ability to lead development teams, manage projects, and drive results. - Strong problem-solving skills, attention to detail, and the ability to work under pressure. - Excellent communication skills and ability to collaborate with cross-functional teams. At Skitii, we offer equity-based compensation with significant upside potential, the opportunity to build and scale cutting-edge AI technology, a leadership role in a fast-growing, impact-driven startup, career growth and learning opportunities, as well as recognition and rewards for outstanding contributions.,