Software Engineer Intern – AI & Data Tech (Cambridge/NYC)

S&P Global; Cambridge (MA); On-site; USD 28,000 - 50,000; Part time

Benefits offered by this job

Mentorship program

Office in Cambridge, MA

Job summary

Kensho, a Kensho/ S&P Global unit in Cambridge, MA, offers internship opportunities across multiple teams focused on AI innovation and data discovery. You will work with engineers to build features, learn best practices, and participate in company-wide knowledge days while contributing to scalable ML-enabled software.

You will collaborate with experienced engineers, attend technical discussions, and grow through hands-on experience on production-ready code within a startup-like, collaborative

Qualifications

• Experience with distributed systems or deep knowledge of at least one tech.
• Strong understanding of algorithms, data structures and design patterns.
• Personal projects or open source contributions demonstrating practical impact.
• Versatility to contribute across multiple teams and products.

Responsibilities

• Write server-side and user-facing features on top of our ML capabilities.
• Design interfaces, APIs and services for immediate needs with future scaling.
• Develop abstractions to enable observability and deployment on core platform.
• Build data ingestion and processing for standalone software products and ML R&D.
• Contribute to production-quality code with code reviews and IaC practices.
• Participate in Knowledge Days for learning and cross-team collaboration.

Skills

Distributed computing

Algorithms & data structures

Open source contributions

Portfolio of work

Effective coding & communication

Tools

Python

Django

Typescript

Airflow

AWS

Docker

Kubernetes

Terraform

Git

Job description

Kensho, a Kensho/ S&P Global unit in Cambridge, MA, offers internship opportunities across multiple teams focused on AI innovation and data discovery. You will work with engineers to build features, learn best practices, and participate in company-wide knowledge days while contributing to scalable ML-enabled software.

You will collaborate with experienced engineers, attend technical discussions, and grow through hands-on experience on production-ready code within a startup-like, collaborative