The machine learning science team at The Knot Worldwide needs to build and implement algorithms that optimize the end-to-end customer journey by focusing on scalable, reusable ML capabilities that maximize engagement, relevance, and business value across key touchpoints like Search, Personalization, and beyond.
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 act as one team on behalf of our customers.
- You define "great" and work backwards.
- You believe in our mission and take ownership of your work.
