The Knot Worldwide · 3 hours ago
Director, Machine Learning Science
Washington, DC
Full-time
Hybrid
Director/Executive
7+ years expThe Knot Worldwide is a company that champions celebration and values its employees. As the Director of Machine Learning Science, you will lead teams to develop and implement algorithms that enhance customer engagement through ML solutions, while collaborating with product and engineering teams to drive innovation in search and personalization.
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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
Qualification
Required
M.S. or Ph.D. (Ph.D. strongly preferred) in Computer Science, Machine Learning, Statistics, or a related quantitative field
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
Exceptional technical communication skills, with the ability to convey complex concepts clearly and effectively to both technical and non-technical audiences
Preferred
Familiarity with cloud-native platforms such as Google Cloud Platform (GCP), AWS, and Vertex AI is a plus
Benefits
Flexible vacation
Generous parental leave
Initiatives that support the growth, development, and happiness of our people
Company
The Knot Worldwide
The Knot Worldwide is a mobile application.
1001-5000 employees
H1B Sponsorship
The Knot Worldwide has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (6)
2024 (3)
2023 (4)
2022 (3)
2021 (6)
2020 (5)
Funding
Current Stage
Late StageLeadership Team
Timothy Chi
Vice Chair, Board of Directors
Recent News
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