Kensho, S&P Global’s hub for AI innovation, is seeking to develop and deploy novel AI and machine learning solutions, including GenAI platforms, LLM-powered applications, and AI toolkit solutions such as Kensho Extract. The goal is to drive innovation and progress for S&P Global and its customers worldwide.
Requirements
- Experience in designing and iterating on agentic systems, understanding user interactions, and evaluating agent performance to enhance user experiences
- Experience with advanced machine learning methods
- Statistical knowledge, intuition, and experience modeling real data
- Expertise in Python and Python-based ML frameworks (e.g., LangGraph, Pydantic AI, PyTorch)
- Demonstrated effective coding, documentation, and communication habits
Responsibilities
- Apply advanced NLP techniques to extract insights from large proprietary unstructured and structured datasets
- Design, build, and maintain scalable production-ready ML systems
- Participate in the ML model lifecycle, from problem framing to training, deployment, and monitoring in production
- Partner with our ML Operations team to deliver solutions for automating the ML model lifecycle, from technical design to implementation
- Work in a cross-functional team of ML Engineers, Product Managers, Designers, Backend & Frontend Engineers who are passionate about delivering exceptional products
Other
- Pursuing a bachelor's degree or higher with relevant classwork or internships in Machine Learning
- Strong communication skills and the ability to effectively express even complicated methods and results to a broad, often non-technical, audience
- Interns are required to work out of the Cambridge HQ or our New York City office
