The board
- Hours
- Full time
- Where
- Cambridge, MA
- Posted
- Sep 9
Kensho is S&P Global’s hub for AI innovation and transformation. With expertise in machine learning, natural language processing, and data discovery, we develop and deploy novel solutions to innovate and drive progress at S&P Global and its customers worldwide. Kensho's solutions and research focus on business and financial generative AI applications, agents, data retrieval APIs, data extraction, and much more.
At Kensho, we hire talented people and give them the autonomy and support needed to build amazing technology and products. We collaborate using our teammates' diverse perspectives to solve hard problems. Our communication with one another is open, honest, and efficient. We dedicate time and resources to explore new ideas, but always rooted in engineering best practices.
What you'd do
- Solve unique challenges in agentic design and LLM orchestration, including context engineering, data access patterns, memory management, and evaluation of agent performance to ensure they meet user needs effectively.
- Lead a project to prototype, build, and test ML models and pipeline components under the guidance of senior engineers.
- Gain hands-on experience across the ML model lifecycle, from problem framing to model selection, pipeline development, evaluation, and deployment support.
- Work within a cross-functional team of ML Engineers, Product Managers, Designers, and Full-Stack Engineers while receiving active mentorship and continuous feedback.
- Pursuing a bachelor's degree or higher with relevant classwork or internships in Machine Learning
- 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
- Starts
- 2026-09-09