Senior Applied Scientist
Core
Evaluate advances in information retrieval, NLP, and large language models; adapt promising approaches to enterprise data and product needs; modernize the search stack for agentic and traditional search.
Role type
Senior Applied Scientist (Information Retrieval & NLP)
Builds
Enterprise search systems, agentic search capabilities, and production ML models
Domain
Information Retrieval, Natural Language Processing, Large Language Models
Deliverable
production ML models
Required skills
Information retrieval, NLP, large language models, sparse and dense retrieval, query understanding, statistical analysis, Python, deep-learning frameworks (PyTorch), offline evaluation design, production deployment, scientific leadership, mentoring
Preferred skills
Agentic search (query planning, iterative retrieval, evidence selection), conference speaking, patenting, publishing peer-reviewed papers
Technologies
Python, PyTorch
Responsibilities
Evaluate advances in IR, NLP, and LLMs; modernize search stack; develop retrieval methods and query-understanding techniques; work with engineering to bring approaches to production; define and measure retrieval quality; monitor deployed models; provide scientific leadership and mentorship; document methods and contribute to publications.
Seniority
Senior, hands-on IC with leadership responsibilities
