Machine Learning Engineer - Summer Intern 2027
S&P Global1 day ago
Cambridge, MA, USA or New York, NY, USAIntern
H1B sponsor
Responsibilities
- Solve challenges in agentic design and LLM orchestration, including context engineering, data access patterns, memory management, and agent-performance evaluation.
- Lead a project to prototype, build, and test machine learning models and pipeline components under senior-engineer guidance.
- Gain experience across the ML lifecycle, including problem framing, model selection, pipeline development, evaluation, and deployment support.
- Collaborate with ML Engineers, Product Managers, Designers, and Full-Stack Engineers while receiving mentorship and feedback.
Requirements
- Pursuing a bachelor’s degree or higher with relevant machine learning coursework or internship experience is typical, although no particular credential or experience is required.
- Experience designing and iterating on agentic systems, understanding user interactions, and evaluating agent performance.
- Experience with advanced machine learning methods and modeling real data, supported by statistical knowledge and intuition.
- Expertise in Python and Python-based machine learning frameworks such as LangGraph, Pydantic AI, and PyTorch.
- Effective coding, documentation, and communication habits, including the ability to explain complex methods and results to broad audiences.
Benefits
- Interns receive mentorship, continuous feedback, opportunities to attend technical and non-technical discussions, and company-wide social events.
- The internship requires in-person work from the Cambridge headquarters or New York City office.
Tech Stack
Apache AirflowApache SparkAWSDockerDVCFastAPIGrafanaJenkinsLightGBMMatplotlibPandasPostgreSQLPyTorchscikit-learnSQLiteXGBoost