Software Engineer - Summer Intern 2027

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 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. As a result, we can innovate rapidly to produce technology that is scalable, robust, and useful.

Kensho is S&P Global’s hub for AI innovation and transformation. With expertise in Machine Learning and data discovery, we develop and deploy novel solutions for S&P Global and its customers worldwide. Our solutions help businesses harness the power of data and Artificial Intelligence to innovate and drive progress. Kensho's solutions and research focus on speech recognition, entity linking, document extraction, automated database linking, text classification, natural language processing, and more.

There are intern opportunities across various teams for those exploring their careers as a Software Engineer at Kensho. While some teams develop our products and initiatives, others are responsible for building systems and frameworks that are leveraged engineering-wide. Regardless of which team is ultimately the right fit, you can expect to find common best practices, languages, and tooling, providing good long-term opportunities for career development.

Are you looking to leverage your teammates' diverse perspectives to solve hard problems? If so, we would love to help you excel here at Kensho. You will be working on a team with experienced engineers and have an opportunity to learn and grow. We take pride in our team-based, tightly-knit startup Kenshin community that provides our employees with a collaborative, communicative environment that allows us to tackle the biggest challenges in data. In addition, as an intern you will have the opportunity to attend technical and non-technical discussions as well as company wide social events.

We value in-person collaboration, therefore interns are required to work out of the Cambridge HQ or our New York City office!

What You’ll 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

Team-Specific Sampling

• 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

What You'll Need

• 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
• Versatility and adaptability to contribute across various teams and/or suite of products
• Effective coding, documentation, and communication habits

Technologies & Tools We Use

• Python, Django, Typescript, Airflow
• Postgres, Elasticsearch, Kafka, Redis, Envoy
• AWS, Docker, Kubernetes, Terraform
• Git, Jenkins, Prometheus, Kibana, Grafana

Interested to see what we're working on? Check out our blog: https://blog.kensho.com/

We are an equal opportunity employer that welcomes future Kenshins with all experiences and perspectives. Kensho is headquartered in Cambridge, MA, with an additional office location in New York City. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin.