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Software Engineer Intern - Summer 2026

Kensho is S&P Global's hub for AI innovation and transformation, developing machine learning applications and AI solutions for data analysis.
Backend
Software Engineering Intern
In-Person
501 - 1,000 Employees
AI · Enterprise SaaS · Finance

Job Description

Kensho, S&P Global's AI innovation hub, is seeking Software Engineer Interns for Summer 2026. This role offers a unique opportunity to work on cutting-edge AI and machine learning applications, developing solutions for S&P Global and its worldwide customers. Interns will join a collaborative environment, working alongside experienced engineers on real production code and features. The position spans various teams, from product development to systems and frameworks engineering, using technologies like Python, TypeScript, and various AWS services. Based in either Cambridge HQ or New York City office, interns will participate in technical discussions, social events, and have regular opportunities for learning and growth through Knowledge Days. The role combines practical software engineering with AI/ML applications, making it ideal for those interested in both traditional software development and cutting-edge technology. Kensho emphasizes team collaboration, code quality, and real-world impact, providing interns with valuable experience in enterprise-scale software development.

Last updated 5 hours ago

Responsibilities For Software Engineer Intern - Summer 2026

  • Contribute to real features and deploy to production environment
  • Learn and employ best practices including static type checking and code review
  • Write server-side and user-facing applications built on ML capabilities
  • Design interfaces, APIs, and services for scaling and reuse
  • Develop abstractions for observability & deployment
  • Build data ingestion & processing for software products and ML R&D

Requirements For Software Engineer Intern - Summer 2026

Python
TypeScript
PostgreSQL
Redis
Kafka
Kubernetes
  • At least one core expertise in distributed computing or deep knowledge of used technologies
  • Practical understanding of algorithms, data structures, and design patterns
  • Personal projects, open source contributions, or portfolio of work
  • Versatility and adaptability to contribute across various teams
  • Effective coding, documentation, and communication habits

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