Lead Applied Scientist, Search & Information Retrieval

For our client, a leader in the Media space, we are seeking a Lead Applied Scientist in Search & Information Retrieval. This role supports financial strategy, forecasting, and performance management initiatives that strengthen business visibility and decision-making. You will partner with executive leadership and cross-functional stakeholders to improve planning processes, financial discipline, controls, and resource allocation, influencing enterprise performance and scalable financial operations.

Location: Remote - US based candidates only, no visa sponsorship available

Responsibilities

• Design and deploy search architectures for large-scale legal and tax content
• Build and optimize ingestion pipelines for document retrieval
• Develop ranking systems using traditional IR and LLM techniques
• Enhance retrieval quality through semantic and hybrid search
• Establish evaluation frameworks for retrieval performance
• Lead technical decisions on indexing and retrieval strategies
• Collaborate with engineering teams for scalable search services
• Contribute insights on search and AI strategy to senior leadership

Qualifications

• PhD in Computer Science, Information Retrieval, AI, Machine Learning, NLP, or related field preferred
• 8+ years of industry experience in production search and retrieval systems
• Publications at major conferences like SIGIR, ACL, EMNLP, etc.
• Strong production Python skills with experience in PyTorch and Hugging Face Transformers
• Hands-on production experience with search architecture and indexing systems

Pay

$147,600 – $274,200 annually

Benefits

• Flex My Way policies for work-life balance including up to 8 weeks of remote work per year
• Continuous learning and professional development programs
• Comprehensive benefits including flexible vacation and mental health days
• Award-winning culture focused on inclusion and belonging
• Opportunities for community impact through volunteer programs