Principal Scientist (Search)

Join our team as a Principal Scientist (Search) and lead the technical vision for AI-powered search, discovery, and knowledge systems. You will drive the development of retrieval, ranking, semantic search, RAG, and agentic AI capabilities. Collaborate closely with Product and Engineering teams to translate customer needs into scalable AI solutions. You should have a PhD in Computer Science, AI, Machine Learning, NLP, Information Retrieval, or a related field, with 8+ years of industry experience building and deploying AI systems at scale.

• Define and drive the technical vision for AI-powered search, discovery, and knowledge systems, leading the development of retrieval, ranking, semantic search, RAG, and agentic AI capabilities.
• Design and optimize retrieval architectures using embeddings, reranking, hybrid search, knowledge graphs, and contextual retrieval techniques, and establish evaluation frameworks for search quality.
• Partner closely with Product and Engineering teams to translate customer needs into scalable AI solutions, providing technical leadership on AI strategy and roadmap planning.
• You are a recognized AI leader with deep expertise in Information Retrieval, Search, NLP, and Generative AI
• You have a track record of turning cutting-edge research into production solutions that deliver measurable customer value
• You hold a PhD in Computer Science, AI, Machine Learning, NLP, Information Retrieval, or a related field, with 8+ years of industry experience building and deploying AI systems at scale
• You bring strong technical depth across retrieval, ranking, RAG, agentic systems, and knowledge-based AI, while also possessing the product mindset and leadership skills needed to influence strategy and drive business impact
• Outstanding communication, collaboration, and stakeholder management skills
• 8+ years of industry experience building and deploying production AI systems at scale
• Experience leading cross-functional initiatives and influencing technical strategy across research, engineering, and product organizations
• A strong product mindset with the ability to translate complex customer problems into successful AI applications
• Proven experience delivering search, retrieval, NLP, knowledge graph, recommendation, or Generative AI solutions
• A PhD in Computer Science, Artificial Intelligence, Machine Learning, Natural Language Processing, Information Retrieval, or a related field
• Information Retrieval, Search Relevance, Semantic Search, Ranking, and Retrieval-Augmented Generation (RAG)
• You bring deep hands-on experience in several of the following areas:
• You also have a strong publication record in leading venues such as SIGIR, NeurIPS, ICLR, ACL, EMNLP, KDD, WWW, RecSys, or comparable conferences, demonstrating your ability to advance state-of-the-art research and translate innovation into real-world business impact
• Knowledge graphs, question answering, retrieval optimization, evaluation methodologies, and experimentation frameworks
• Production development using Python, PyTorch, Hugging Face, and modern MLOps practices
• Large Language Models, Agentic AI frameworks, tool-using systems, and knowledge-based AI applications
• Experience within Legal, Tax & Accounting, Risk, Financial Services, Healthcare, or other complex professional domains
• Experience building enterprise search, discovery, or research-assistance platforms
• Experience with hybrid search, vector databases, recommendation systems, knowledge graphs, and large-scale retrieval platforms
• Experience deploying and operating AI solutions using Azure ML, Azure AI Foundry, AWS SageMaker, or similar cloud platforms
• Experience mentoring scientists and leading large-scale AI initiatives