RavenPack

• Own Model Development: Lead the end-to-end design, development, and deployment of advanced ranking algorithms and retrieval models to deliver highly relevant search results and content. • Innovate in Semantic Search: Fine-tune and distill Language Models to enhance their domain-specific expertise. You'll implement cutting-edge semantic embedding techniques (e.g., binary, matryoshka, late interaction models) to optimize for speed and accuracy. • Build & Scale Recommender Systems: Architect and implement sophisticated recommender systems that personalize the user experience, driving engagement and content discovery. • Collaborate & Mentor: Work closely with product managers, software engineers, and data scientists to translate business needs into technical solutions. • Stay Ahead of the Curve: Actively research and evaluate emerging trends and academic research in ML, NLP, and Information Retrieval, prototyping new ideas to maintain our competitive edge.