
Senior Machine Learning Engineer, Customer Support Engineering
Job Description
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Machine Learning Engineer, Customer Support Engineering based in the United States.
This is a high-impact ML engineering role focused on building next-generation AI systems that redefine customer support at scale. You will work on cutting-edge agentic AI technologies that power chat and voice assistants, enabling more intelligent, proactive, and personalized support experiences for millions of users globally. The role sits at the intersection of applied research and production engineering, requiring deep expertise in large language models and scalable ML systems. You will help design and ship advanced AI architectures such as multi-agent systems, retrieval-augmented generation, and reinforcement learning pipelines. Working closely with product, design, and engineering teams, you will transform early-stage ideas into production-ready systems. This is a highly collaborative environment where innovation, experimentation, and real-world impact are central to the mission.
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Machine Learning Engineer, Customer Support Engineering based in the United States.
This is a high-impact ML engineering role focused on building next-generation AI systems that redefine customer support at scale. You will work on cutting-edge agentic AI technologies that power chat and voice assistants, enabling more intelligent, proactive, and personalized support experiences for millions of users globally. The role sits at the intersection of applied research and production engineering, requiring deep expertise in large language models and scalable ML systems. You will help design and ship advanced AI architectures such as multi-agent systems, retrieval-augmented generation, and reinforcement learning pipelines. Working closely with product, design, and engineering teams, you will transform early-stage ideas into production-ready systems. This is a highly collaborative environment where innovation, experimentation, and real-world impact are central to the mission.