AI Research Intern

Pangram Labs; New York (NY); On-site; USD 89,000 - 123,000; Full time

Benefits offered by this job

Relocation stipend

In-office lunch

Return offers for full-time roles

Top interns may receive return offers

Job summary

Pangram Labs Inc. is hiring AI Research Interns for Spring or Summer 2027. Interns conduct challenging research in frontier AI detection and related topics, with the goal of publishing a paper in a major conference venue.

Interns are assigned a mentor and choose a research area, with active topics including adversarial robustness, interpretability, multimodal detection, and data effects on training. relocation and on-site meals are provided in the NYC area.

Qualifications

• Pursuing MS/PhD in Computer Science/Artificial Intelligence
• Research experience that has resulted in a published paper in a top AI venue
• Fluency in deep learning fundamentals and experience training neural networks
• Excellent programming skills in Python and a deep learning framework like PyTorch
• Experience working with an AI agent for research like Claude Code or Codex

Responsibilities

• Select a research topic or area with a mentor before the internship
• Conduct frontier AI detection research and related topics
• Aim to publish a paper in a major conference venue

Skills

Python programming

Deep learning fundamentals

Experience training neural networks

PyTorch

Education

MS/PhD in CS or AI

Exceptional undergraduates entering senior year

Tools

PyTorch

NumPy

Job description

Pangram Labs is hiring talented AI Research Interns for Spring or Summer 2027.

Research interns conduct research relating to frontier AI detection research or related topics, with the goal of publishing a paper in a major conference venue. Examples of past internship projects at Pangram include EditLens (https://arxiv.org/pdf/2510.03154) and Scaling Laws for Wild AI Text (https://arxiv.org/abs/2609.40295).

What You’ll Work On

Interns are assigned a mentor, and choose a research topic or area prior to the internship. Current active research areas within Pangram include:

• Adversarial Robustness: how do detectors perform against humanizers and adversarial paraphrasing?
• Interpretability: can we build more explainable, interpretable AI detection?
• Mixed Human/AI Authorship: how can we quantify the different facets of human-AI coauthorship?
• New Architectures: how can we optimize Pangram’s architecture for efficiency or even higher levels of accuracy?
• Multimodal Detection: how can we improve AI detection for images, video, and audio?
• Effects of AI-Generated Data on LLM Training: what is the effect of AI-generated data on foundation model training?
• Agentic AI detection: how can we harness the power of agents to give Pangram more context about authorship?
• Topics of your choice: propose an original topic relevant to AI detection

Requirements

• Currently pursuing an M.S. or Ph.D. in Computer Science/Artificial Intelligence. Exceptional undergraduates entering their senior year are welcome to apply.
• Prior research experience that has resulted in a published paper in a top AI venue.
• Fluency in deep learning fundamentals and experience training neural networks.
• Excellent programming skills in Python and a deep learning framework like Pytorch.
• Experience working with an AI agent for research like Claude Code or Codex.

Compensation

• $8,000-$11,000 per month
• Relocation stipend available
• In-office lunch
• Top interns may receive return offers for full-time roles