AI Research Intern

Pangram Labs Inc.; 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

Job summary

Pangram Labs Inc. is seeking AI Research Interns for Spring or Summer 2027 in New York. Interns work with mentors to select a research topic and contribute to frontier AI detection research, with the goal of publishing a paper at a major conference.

Projects include exploring adversarial robustness, interpretability, mixed human/AI authorship, and multimodal detection, with opportunities for high-impact results and potential full-time offers for top performers.

Qualifications

• Currently pursuing an M.S. or Ph.D. in CS/AI; exceptional undergraduates may apply.
• Prior research with a published paper in a top AI venue.
• Fluency in deep learning fundamentals and training neural networks.
• Excellent Python programming and PyTorch experience.
• Experience with AI agents for research (Claude/Codex).

Responsibilities

• Contribute to frontier AI detection research and publish papers.
• Choose a research topic with a mentor and pursue it during the internship.
• Experiment with detectors and architectures to improve detection performance.

Skills

Deep learning fundamentals

Training neural networks

Python programming

PyTorch

AI agent research tools (Claude/Codex)

Education

MS/PhD in Computer Science/AI

Exceptional senior undergrad

Tools

PyTorch

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