Principal Scientist- Search

About You

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  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.

In this position, you will:

• Define and drive the technical vision for AI‑powered search, discovery, and knowledge systems.
• Lead 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.
• Establish evaluation frameworks and benchmarks for search quality, relevance, grounding, and answer quality.
• Partner closely with Product and Engineering teams to translate customer needs into scalable AI solutions.
• Provide technical leadership on AI strategy, roadmap planning, and investment decisions.
• Mentor scientists and engineers while promoting best practices across the organization.

• A PhD in Computer Science, Artificial Intelligence, Machine Learning, Natural Language Processing, Information Retrieval, or a related field.
• 8+ years of industry experience building and deploying production AI systems at scale.
• Proven experience delivering search, retrieval, NLP, knowledge graph, recommendation, or Generative AI solutions.
• A strong product mindset with the ability to translate complex customer problems into successful AI applications.
• Experience leading cross‑functional initiatives and influencing technical strategy across research, engineering, and product organizations.
• Outstanding communication, collaboration, and stakeholder management skills.

• Information Retrieval, Search Relevance, Semantic Search, Ranking, and Retrieval‑Augmented Generation (RAG).
• Large Language Models, Agentic AI frameworks, tool‑using systems, and knowledge‑based AI applications.
• Knowledge graphs, question answering, retrieval optimization, evaluation methodologies, and experimentation frameworks.
• Production development using Python, PyTorch, Hugging Face, and modern MLOps practices.

You also have a strong publication record in leading venues such as SIGIR, NeurIPS, ICLR, ACL, EMNLP, KDD, WWW, Rec Sys or comparable conferences, demonstrating your ability to advance state‑of‑the‑art research and translate innovation into real‑world business impact.

• Experience building enterprise search, discovery, or research‑assistance platforms.
• Experience with in Legal, Tax & Accounting, Risk, Financial Services, Healthcare, or other complex professional domains.
• 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 Sage Maker, or similar cloud platforms.
• Experience mentoring scientists and leading large‑scale AI initiatives.

• Hybrid Work Model: We’ve adopted a flexible hybrid working environment (2‑3 days a week in the office depending on the role) for our office‑based roles while delivering a seamless experience that is digitally and physically connected.
• Flexibility & Work‑Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for…