About this opportunity
S&P Global lists this Machine Learning Engineer - Summer Intern 2027 opportunity in new york, New York. Review the employer’s description below for duties, qualifications and application requirements.
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.
Kensho is looking for ML Engineer interns to join the group of Machine Learning Engineers working on developing a cutting-edge GenAI platform, LLM-powered applications, and fundamental AI toolkit solutions such as Kensho Extract. We are looking for talented people who share our passion for bringing robust, scalable, and highly accurate ML solutions to production.
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
Solve unique challenges in agentic design and LLM orchestration, including context engineering, data access patterns, memory management, and evaluation of agent performance to ensure they meet user needs effectively.
Lead a project to prototype, build, and test ML models and pipeline components under the guidance of senior engineers.
Gain hands-on experience across the ML model lifecycle, from problem framing to model selection, pipeline development, evaluation, and deployment support.
Work within a cross-functional team of ML Engineers, Product Managers, Designers, and Full-Stack Engineers while receiving active mentorship and continuous feedback.
What You'll Need
Pursuing a bachelor's degree or higher with relevant classwork or internships in Machine Learning
Experience in designing and iterating on agentic systems, understanding user interactions, and evaluating agent performance to enhance user experiences.
Experience with advanced machine learning methods
Statistical knowledge, intuition, and experience modeling real data
Expertise in Python and Python-based ML frameworks (e.g.,LangGraph, Pydantic AI, PyTorch)
Demonstrated effective coding, documentation, and communication habits
Strong communication skills and the ability to effectively express even complicated methods and results to a broad, often non-technical, audience
Technologies & Tools We Use
Agentic systems: Agentic Orchestration, Deep Research, Information Retrieval, Semantic Search, LLM code generation, LLM tool utilization, Textual RAG systems
Core ML/AI: LangGraph, Transformers, HuggingFace, LightGBM, PyTorch, SKLearn, XGBoost
Data Exploration & Visualization: Jupyter, Matplotlib, Pandas, Weights & Biases, Langfuse
Data Management & Storage: Apache Spark, AWS Athena, DVC, LabelBox, OpenSearch, Postgres/Pgvector, S3, SQLite
Deployment & MLOps: Arize, Airflow, AWS, DeepSpeed, Docker, Grafana, Jenkins, LangFuse, LiteLLM, Ray, vLLM
Prototyping & Development: Claude Code, FastAPI, Streamlit, Gradio
Interested to see what we're working on? Check out our blog:
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.
#J-18808-Ljbffr
Worksite address
new york, NY, 10261, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.