Our exciting internship opportunities for this Summer 2024 are now available. We are looking for students pursuing advanced degrees in Computer Science and Electrical Engineering. Internships are typically 3 months long in duration. The benefits of working for us include the opportunity to quickly become part of a project team applying cutting-edge technology to industry-leading concepts. We have opportunities in Data Science & System Security, Integrated Systems, Media Analytics, Machine Learning, and Optical Networking & Sensing.

Visit our Internship page to learn more about our programs, our Careers page for all of our employment opportunities and apply below for your internship by department and location. Good luck!

Summer Intern 2024
Position Department Location Currently Accepting Applications
DSSS – Research Intern Data Science and System Security Princeton, New Jersey Yes
IS – Research Intern Integrated Systems Princeton, New Jersey No
MA – Research Intern Media Analytics San Jose, California No
ML – Research Intern Machine Learning Princeton, New Jersey Yes
ONS – Research Intern Optical Networking and Sensing Princeton, New Jersey No

Read Our News Posts

When Video AI Gets Physics Wrong, the Consequences Are Real

When Video AI Gets Physics Wrong, the Consequences Are Real

Video generation models can look physically convincing while getting the physics completely wrong. PhyCo, new research from our Media Analytics department, introduces continuous, controllable physical properties to video AI, allowing practitioners to specify friction, bounce, and force.
Mix-CLAP Teaching Audio AI to Work in the Noisy Real World

Mix-CLAP: Teaching Audio AI to Work in the Noisy Real World

Mix-CLAP from NEC Laboratories America delivers near-Transformer accuracy for sound event classification at a fraction of the compute cost, using dual lightweight encoders and adaptive, noise-aware inference for real-world edge deployment.
How AI Can Transform the Way Companies Buy What They Need

How AI Can Transform the Way Companies Buy What They Need

Procurement teams lose time and money to inaccurate demand forecasts and manual supplier negotiations. A new framework from NEC Corporation and NEC Laboratories America combines automated negotiation with multimodal AI forecasting to optimize both sides of the procurement process.
Open SAT How We Taught AI to Search Satellite Images Like a Search Engine

Open SAT: How We Taught AI to Search Satellite Images Like a Search Engine

Satellite imagery is vast, high-resolution, and rich with information, but finding specific objects within it using natural language has remained a stubborn challenge. Open-SAT, developed by researchers at NEC Laboratories America and North South University, tackles this problem without retraining any models.
Training Small AI Models Without Blindly Trusting Big Teacher Models

Training Small AI Models Without Blindly Trusting Big Teacher Models

Machine learning is shifting from learning from data alone to learning from both data and teacher models. Beta-KD uses uncertainty-aware Bayesian weighting to train compact multimodal AI without blindly trusting every teacher signal.
How Rule-Driven Routing Makes Retrieval-Augmented Generation Smarter

How Rule-Driven Routing Makes Retrieval-Augmented Generation Smarter

Most retrieval-augmented generation systems stop at documents, ignoring the relational databases that power finance, healthcare, and research. Our researchers built a rule-driven framework that learns which source to query for each question, delivering better answers at lower computational cost.