A Note on applying to Pangram:
At Pangram, we firmly believe that genuine human expression, and our ability to communicate with each other online and through the written word, is a fundamental right- and a value worth preserving.
Please don't use AI to answer any of the questions as part of your application - we want to hear from you!
About Pangram Labs
Pangram Labs’ mission is to protect authenticity and preserve human connection in the context of the generative AI era. We build the world’s best AI detection systems. We publish research on state-of-the-art AI detection techniques and algorithms and build products to bring our technology into people's daily lives. We provide tools for individuals, institutions and companies to detect the use of AI in written content.
Pangram is a recognized thought leader in the space of AI detection. Our CEO & Co-founder Max Spero has been named as one of Time Magazine’s 100 Most Influential People in AI and Pangram has been named one of Time’s Best Inventions of 2026.
We are looking for high agency, mission-driven, and passionate builders to join our team!
About the Role
As an AI Research Scientist at Pangram Labs, you’ll work directly on our core AI detection model, training deep learning models, running experiments, and contributing innovative ideas to build the most accurate AI detection software in the industry. You will build models that reliably identify AI-generated content and perform research in adjacent areas such as adversarial robustness and interpretability. This is a research role at a startup, which means engineering work is core to the discipline: you'll ship production code, deploy models, build infrastructure, and do real engineering work.
This is a full-time, on-site role in our Brooklyn office reporting to our CTO.
What You'll Do
Train large-scale deep learning models to detect AI-generated content
Experiment with the creation of synthetic datasets at scale
Develop novel and innovative ideas to improve the model’s performance
Share your work through technical publications, whitepapers, and blog posts
Work with engineering and product teams to translate research into new product features and communicate the results to non-technical audiences
Qualifications
You are a great fit for this role if you have:
Ph.D and/or 3-5+ years of experience in AI, Machine Learning, NLP, or related areas
First-author publications in major AI venues such as NeurIPS, ICML, ICLR, etc., or significant contributions to AI products in industry
A deep understanding of generative models and how they work
Experience training neural networks in PyTorch at scale
Familiarity with recent technical developments in LLMs
Nice to have
You are an exceptional candidate for this role if you also have:
Experience with synthetic data, adversarial robustness, or interpretability
Experience or publications in NLP or computational linguistics
Experience with AI infrastructure / distributed systems
Skills Required
- Ph.D. and/or 3-5+ years of experience in AI, machine learning, NLP, or a related field
- First-author publications in major AI venues such as NeurIPS, ICML, or ICLR, or significant contributions to AI products in industry
- Deep understanding of generative models
- Experience training neural networks in PyTorch at scale
- Familiarity with recent technical developments in large language models
- Experience with synthetic data, adversarial robustness, or interpretability
- Experience or publications in NLP or computational linguistics
- Experience with AI infrastructure or distributed systems
What We Do
Pangram's mission is to promote authenticity and preserve human connection in the context of the generative AI era. We firmly believe that genuine human expression, and our ability to communicate with each other online and through the written word, is a fundamental right- and a value worth preserving. At the core, Pangram is best-in-class AI detection software that can be applied to multiple use cases across many verticals. Pangram's core value proposition is its accuracy: a testament to the depth of the research that we have conducted that has been validated by multiple academic third party studies. AI detectors have been widely maligned by the media and the educational community, and we believe somewhat rightfully so: early AI detectors like GPTZero, Copyleaks, ZeroGPT, Turnitin, and had false positive rates of upwards of 1% (false accusations of human writing as AI), and false negatives (missing AI generated text, predicting it as human). They faced many of the issues that still plague AI detection discourse today, such as predicting that the Declaration of Independence is AI-generated and demonstrating elevated false positive rates on ESL writing. We are fighting to earn the trust of the public back by doing AI detection the right way. Public research is core to our identity. We are transparent about what we do, and put our methods out into the open because we have nothing to hide, and we are serious about building trust with our customers. We still believe we are the only AI detector that "actually works," and the only serious team that is up for solving this challenging research problem.
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