Teams at S&P Global

Software engineering interns contribute to production features, APIs, services, machine learning applications, data ingestion pipelines, and platform infrastructure. They participate in code reviews, deployment, observability, infrastructure as code, and engineering best practices while collaborating with experienced teams. Interns also receive opportunities for technical learning and cross-team exploration. The role requires algorithmic knowledge, software development experience through projects or open source, adaptability, and strong coding, documentation, and communication skills.

Develop and deploy machine learning solutions for generative AI platforms, LLM-powered applications, and AI toolkits. Interns will solve agentic design and LLM orchestration challenges, prototype and evaluate models, develop pipeline components, and support deployment across the ML lifecycle. The role involves collaboration with ML engineers, product managers, designers, and full-stack engineers, with mentorship and opportunities to work on scalable, production-ready systems.

Provide legal counsel on DeFi, digital assets, tokenization, and blockchain initiatives; draft, negotiate, and advise on complex commercial agreements and data licensing; evaluate protocols, oracle networks, and tokenized market models; support regulatory compliance, RFP responses, customer due diligence, and cross-functional product and commercial teams.