Team meeting in front of white boarding session
Kensho Technologies Logo

Kensho Technologies

Software Engineer - Summer Intern 2027

Posted 48 Minutes Ago
Be an Early Applicant
Hybrid
New York, NY
Internship
Hybrid
New York, NY
Internship
Software Engineering interns contribute to production features, applications, APIs, services, data ingestion pipelines, and machine-learning-enabled products. They participate in code reviews, deployment, observability, infrastructure as code, and production-readiness practices while collaborating with experienced engineers. Interns work in person from the Cambridge headquarters or New York City office and receive opportunities for technical learning, exploration, and cross-team development.
The summary above was generated by AI
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/
Recruitment Fraud Alert:
If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to [email protected] . S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, "pre-employment training" or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here .
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.
Job ID: 331717
Posted On: 2026-09-09
Location: Cambridge, Massachusetts, United States

Similar Jobs at Kensho Technologies

48 Minutes Ago
Hybrid
Internship
Internship
Artificial Intelligence • Fintech • Machine Learning • Natural Language Processing • Software • Generative AI
Develop and test machine learning models, pipelines, agentic systems, and LLM-powered applications under senior-engineer mentorship. Interns will work across the ML lifecycle, including problem framing, model selection, pipeline development, evaluation, and deployment support. The role involves collaborating with ML Engineers, Product Managers, Designers, and Full-Stack Engineers on scalable AI solutions.
Top Skills: Amazon S3Apache AirflowSparkArizeAWSAws AthenaClaude CodeDeepspeedDockerDvcFastapiGradioGrafanaHuggingfaceJenkinsJupyterLabelboxLangfuseLanggraphLightgbmLitellmMatplotlibOpensearchPandasPgvectorPostgresPydantic AiPythonPyTorchRayScikit-LearnSqliteStreamlitTransformersVllmWeights & BiasesXgboost
21 Days Ago
Hybrid
130K-170K Annually
Entry level
130K-170K Annually
Entry level
Artificial Intelligence • Fintech • Machine Learning • Natural Language Processing • Software • Generative AI
Own AI partnership development and a portfolio of strategic clients. Manage partner relationships, coordinate cross-functional launches, drive product adoption and expansion, convert trials, support renewals, and resolve partnership or client issues. The role requires technical fluency in AI/ML, APIs, and software implementation, along with strong communication, senior relationship management, commercial judgment, and comfort operating autonomously in ambiguous environments. Approximately 25% travel is required within the United States and to company hubs.
Top Skills: APIsMachine LearningNatural Language Processing
27 Days Ago
Hybrid
140K-180K Annually
Mid level
140K-180K Annually
Mid level
Artificial Intelligence • Fintech • Machine Learning • Natural Language Processing • Software • Generative AI
Design, build, and productionize agentic AI systems and retrieval pipelines for financial data. Participate across the ML lifecycle: framing, experimentation, deployment, monitoring, and evaluation. Collaborate with cross-functional teams to integrate proprietary structured and unstructured data, improve agent performance, and automate MLOps workflows for scalable, robust AI-driven products.
Top Skills: AirflowSparkArizeAWSAws AthenaClaude CodeDeepspeedDockerDvcFastapiGradioGrafanaHuggingfaceJenkinsJupyterLabelboxLangfuseLanggraphLightgbmLitellmMatplotlibOpensearchPandasPgvectorPostgresPydanticaiPythonPyTorchRayS3Scikit-LearnSqliteStreamlitTransformersVllmWeights & BiasesXgboost

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account