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The Knot Worldwide Logo

Director, Machine Learning Science

The Knot Worldwide

Salary not specified
Sep 15, 2025
New York, NY, US • Washington, DC, US
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The machine learning science team at The Knot Worldwide is looking to optimize the end-to-end customer journey by building and implementing algorithms that maximize engagement, relevance, and business value across key touchpoints like Search and Personalization.

Requirements

  • 7–10 years of hands-on experience in areas such as personalization, ranking systems, search technologies, natural language processing (NLP), deep learning, and other core machine learning methodologies.
  • Deep expertise in semantic search and embedding-based retrieval techniques.
  • Strong foundation in statistical modeling, experimental design, hypothesis testing, and optimization.
  • Proficient in Python, with experience developing and deploying ML-powered systems in production environments.
  • Proven track record of managing science and engineering teams building complex, real-time, distributed AI/ML systems.
  • Familiarity with cloud-native platforms such as Google Cloud Platform (GCP), AWS, and Vertex AI is a plus.

Responsibilities

  • 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.

Other

  • M.S. or Ph.D. (Ph.D. strongly preferred) in Computer Science, Machine Learning, Statistics, or a related quantitative field.
  • Exceptional technical communication skills, with the ability to convey complex concepts clearly and effectively to both technical and non-technical audiences.
  • You Dream Big. You iterate and experiment to drive innovation.
  • You Love Our Users. You keep our global community at the center of everything you do.
  • You Do the Right Thing. You strengthen your team through respect, fairness, and inclusion.