• Design, implement, and optimize machine learning training pipelines and model serving infrastructure for real time applications • Develop algorithms and ML models that enable personalized training, adaptive coaching, and performance prediction • Fine tune and evaluate transformer based or self supervised learning models using Tonal’s multimodal dataset • Build data driven systems that measure training effectiveness, effort, and progression beyond traditional weight based metrics • Prototype, train, and deploy ML models that run efficiently at scale or on device • Collaborate cross functionally with Exercise Science, Product, and Software teams to deliver intelligent features that improve the member experience • Contribute to the development of automated tools for experimentation, model validation, and continuous retraining • Write high quality, maintainable Python code and work closely with backend engineers to integrate models into Tonal’s production systems • Mentor teammates and help shape Tonal’s growing AI and ML best practices