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
- Make an immediate impact by contributing to real features, gaining feedback via code review, merging to our codebase and deploying to our production environment
- Learn and employ best practices such as static type checking, optimizing for legibility, code review, IaC, and following a maturity model for production-readiness
- Leverage regularly sanctioned time (Knowledge Days!) across most teams for continuous learning and exploration beyond our day-to-day work
- Write server-side and user-facing applications built on top of our machine learning capabilities
- Design interfaces, APIs, and services that address immediate needs with an eye for future scaling and reuse
- Develop the right abstractions to enable observability & deployment to our core platform
- Build data ingestion & processing for stand-alone software products and machine learning R&D
- At least one core expertise, such as distributed computing or deep knowledge of one of the technologies we use
- Practical understanding of algorithms, data structures, and design patterns
- Personal projects, open source contributions, or a portfolio of work
- Starts
- 2026-09-09