About the role
Dodo is seeking a senior machine learning engineer to join their engineering team in San Francisco. The role involves developing and managing ML models that enhance healthcare call agents, focusing on understanding caller intent, decision-making, and improving customer interactions across voice, text, and web channels. The engineer will be responsible for building evaluation systems, fine-tuning models, and ensuring real-time performance within operational constraints.
The candidate will work closely with product engineers to deploy model improvements, monitor their impact on customer outcomes, and set strategic directions for model usage. They should have extensive experience in deploying ML systems, especially with large language models or speech systems, and possess strong coding skills for production environments. The role emphasizes measurement, evaluation, and handling real-world conversation data with privacy considerations.
This full-time, on-site position requires a professional with at least three years of relevant experience, who is pragmatic about latency, cost, and reliability. The engineer will be part of a small, collaborative team dedicated to advancing AI-driven healthcare solutions, working directly in San Francisco to develop smarter, faster, and more reliable call agents. The role offers an opportunity to impact healthcare interactions through cutting-edge ML technology.