Zendesk

Senior Machine Learning Scientist to work on an AI Agent system (Gen3) for Zendesk's chatbot and voice assistance. The role involves owning product areas, bridging ML research and real-world impact, shaping roadmaps, and collaborating with cross-functional teams. Responsibilities include designing and testing AI solutions, owning research projects end-to-end, discussing ideas, keeping up with NLP/ML literature, working with ML engineers, using tools for rapid implementation, and collaborating with product managers.

Staff Machine Learning Engineer to own the ML surface of routing and presence products, transitioning from a rules-based engine to an agentic routing engine. The role involves end-to-end ML ownership from feature engineering and model design to production serving and monitoring, with a focus on applied ML for measurable customer outcomes at scale within a product engineering team. Responsibilities include designing experimentation frameworks, shaping the integration of classical ML and LLM components, and mentoring other engineers.