Director, Machine Learning Science
The Knot Worldwide
full-time
Posted on:
Location Type: Remote
Location: United States
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Job Level
Tech Stack
About the role
- 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.
Requirements
- 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.
- Familiarity with cloud-native platforms such as Google Cloud Platform (GCP), AWS, and Vertex AI is a plus.
Benefits
- Flexible vacation
- Generous parental leave
- Mental wellbeing support
- Physical health support
- Financial planning assistance
- Engaging perks and discounts
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
machine learningartificial intelligencenatural language processingdeep learningstatistical modelingexperimental designhypothesis testingoptimizationsemantic searchembedding-based retrieval
Soft Skills
leadershipmentoringcommunicationcollaborationteam developmentknowledge sharingtechnical documentationinfluenceproblem-solvingcross-functional partnership
Certifications
M.S. in Computer SciencePh.D. in Computer SciencePh.D. in Machine LearningPh.D. in StatisticsPh.D. in related quantitative field