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MIT Lincoln Laboratory · 1 day ago

Group 07-75 | SRP Intern - Software/AI Engineering | Systems Engineering - | Summer 2026

Lexington, MA

Internship

Onsite

Intern

$24.50/hr - $43/hr

Start in 2026 Summer

MIT Lincoln Laboratory is seeking a motivated AI/ML Intern to assist in implementing a Retrieval-Augmented Generation (RAG) pipeline. This internship offers hands-on experience in systems engineering and advanced technology programs, focusing on machine learning and database management.

BiotechnologyInformation TechnologyNational SecuritySecurity

Growth Opportunities

No H1B

Security Clearance Required

U.S. Citizen Only

Responsibilities

Work with the engineering team to understand database schema

Implement data ingestion and embeddings into a vector store

Set up a RAG pipeline (e.g., using LangChain, LlamaIndex, or Langraph) connected to the SQL database

Develop simple prompts and queries to return structured data from natural language questions

Test the system with real engineering queries and improve retrieval accuracy

Document implementation steps and create a “how-to” guide for future engineers

Assist with payload architecture definition, including optical, mechanical, and electrical subsystems

Help create system-level block diagrams (electrical and/or mechanical)

Conduct environmental hazard analyses for sensitive components

Support integration and test planning activities

Develop and run finite element models using tools such as MSC/PATRAN

Analyze structural and thermal test data

Design components and assemblies using SolidWorks

Create and manage engineering databases

Run software analysis codes to evaluate performance

Qualification

Python programmingSQL queryingMachine learningNatural language processingVector databasesDocumentationCommunication

Required

Currently pursuing or recently completed a degree in Computer Science, Data Science, Electrical/Computer Engineering, or related field

Familiarity with Python programming and working with APIs

Basic understanding of SQL databases (queries, joins, filtering)

Coursework or project exposure to machine learning or NLP

Eagerness to learn and ability to work independently with guidance

Current students with junior standing or higher in a relevant engineering discipline

Fields of study may include Systems Engineering, Mechanical Engineering, Aeronautics/Astronautics, Aerospace Engineering, Civil Engineering, Physics, or a related field

Preferred

Familiarity with vector databases

Exposure to LLM frameworks (LangChain, LlamaIndex)

Interest in electrical parts/cable assemblies (helpful but not required)

Experience with finite element analysis (FEA) or computer-aided design (CAD) tools is helpful but not required

Benefits

Housing support is available for eligible non-local interns, including access to discounted university housing in Boston and a one-time taxable relocation payment.

Complimentary daily shuttle transportation is provided from Boston-based housing to and from the Lab.