Machine Learning Engineer Summer Intern 2027

Kensho is S&P Globals 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. Kenshos 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 Globals 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. Kenshos 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 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 Youll 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 Youll Need:

Outstanding people come from all different backgrounds and were always interested in meeting talented people! Therefore we do not require any particular credential or experience. If our work seems exciting to you and you feel that you could excel in this position wed love to hear from you. That said most successful candidates will fit the following profile which reflects both our technical needs and team culture:

• Pursuing a bachelors 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 ( 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 were working on Check out our blog: Fraud Alert:

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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.