Applied Scientist, FinTelligence
Core
Leading the development of generative AI applications for finance teams, focusing on large language models, multi-agent systems, and real-world financial operations.
Role type
Senior Applied Scientist (Generative AI / Financial Operations)
Builds
Production-grade AI systems for contract intelligence, cash application, and financial data investigation.
Domain
Financial Services / Generative AI / Multi-agent Systems
Deliverable
production ML models
Required skills
Machine learning model development, algorithm design for business applications, Java, C++, Python, tiered model architectures, intelligent routing, small language models, evaluation frameworks, quality regression detection
Preferred skills
PhD in CS/ML/Engineering, speech recognition, machine translation, NLP systems, patents or publications at top-tier conferences
Technologies
Large language models, multi-agent systems, tiered model architectures, small language models
Responsibilities
Building AI systems that finance teams trust without manual review, designing agents that learn from user corrections, solving inference at massive scale, developing evaluation frameworks to gate model changes
Seniority
Senior, hands-on IC
