The Knot Worldwide

Machine Learning Engineer

• Lead and mentor a high-performing Machine Learning Science team focused on delivering impactful ML/AI solutions that drive business outcomes.
• Partner closely with cross-functional engineering and product teams to define, prioritize, and execute high-impact initiatives.
• Drive research and development of machine learning models, including semantic search, personalized and real-time recommendations, and agentic learning approaches.
• Define and execute a mid- and long-term vision for scalable ML architecture across key domains such as personalization, search, and real-time performance optimization.
• Recruit, develop, and retain a diverse team of top-tier scientific talent, elevating the capabilities and influence of The Knot’s Machine Learning Science organization.
• Actively contribute to the broader technical community by sharing insights through internal knowledge-sharing sessions, technical documentation, and external publications or blog posts.

Director, Machine Learning Science