Lead Machine Learning Scientist, Customer Operations
Core
Lead the development of human-in-the-loop ML systems using LLMs and autonomous agents to predict, identify, disambiguate, and route customer problems at scale.
Role type
Senior IC Machine Learning Scientist (Customer Operations)
Builds
ML-based solutions for customer service automation and query resolution
Domain
Fintech / Customer Operations
Deliverable
production ML models
Required skills
Leading ML model development and deployment, Deep learning, Graph-based ML, Sequence-based architectures, Python, SQL, Technical leadership, Mentoring, Product mindset
Preferred skills
Experience with LLMs, RAG, and sequence-based architectures, Experience in regulated institutions, Microservices architecture
Technologies
Python, SQL, Go, LLMs, RAG
Responsibilities
Working with stakeholders to identify opportunities to transform Customer Operations with ML, Leading the design and development of advanced ML models, Providing technical leadership to drive up levels of technical expertise, Steering ongoing technical strategy and ML model lifecycle optimization
Seniority
Senior, hands-on IC with technical leadership