The role involves collaborating with product, design, and engineering teams to identify and execute high-impact machine learning opportunities. The engineer will prototype and deploy intuitive AI systems, including natural language interfaces, recommendation engines, and agentic workflows. Responsibilities include developing and scaling the infrastructure that supports both internal tools and customer-facing features. The position requires addressing complex user experience challenges at the intersection of artificial intelligence, business intelligence, and application development. The individual will contribute to the foundational AI architecture that powers the company's platform for enterprise users.

Candidates must possess a bachelor's degree in computer science, engineering, mathematics, or a related field. A minimum of 10 years of experience in building and deploying production-grade AI and machine learning systems is required. Applicants must demonstrate deep knowledge of machine learning, deep learning, and applied AI, along with experience across the full machine learning lifecycle. A proven track record of shipping complex features such as search, recommendations, or machine translation is necessary, as is experience in training or adapting foundation models.