AI Research Scientist (NLP)

pangramlabs

New York City, NYFull-time$150–400K/yrPosted todayStill listed today

Most applications go out cold — see where you stand first. No sign-up to start.

Watch jobs like this.

At a glance

Compensation
$150–400K/yr
Location
New York City, NY
Schedule
Full-time
Work Authorization
Not specified

Olive lists jobs from US employers, including remote roles you can work from the United States.

Requirements

Credentials this posting asks for.

Doctorate

Job overview

Pangram Labs seeks AI Research Scientists to advance its AI detection models. The role blends deep learning research with production engineering, requiring development of large‑scale models, synthetic datasets, and novel techniques. Candidates will publish findings, collaborate across product and engineering, and help translate research into robust, real‑world AI detection features.

Skills & qualifications

RequiredNice to have

Skills

Deep LearningPyTorchGenerative ModelsLarge Language ModelsSynthetic DataAdversarial RobustnessInterpretabilityNatural Language ProcessingComputational LinguisticsAI InfrastructureDistributed Systems

Qualifications

Ph.D in AI or Related Field3-5+ Years AI/ML ExperienceFirst-Author Publications in Major AI Venues

Full job description

About Pangram Labs

Pangram Labs’ mission is to protect authenticity by building 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 are looking for high agency, mission-driven, and passionate builders to join our team. All roles are in person in Brooklyn, New York.

About the Role

Pangram Labs is hiring AI Research Scientists to join our team. 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.

Responsibilities:

  • 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

Requirements:

  • 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

  • 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

  • Experience with synthetic data, adversarial robustness, or interpretability

  • Experience or publications in NLP or computational linguistics

  • Experience with AI infrastructure / distributed systems

About the Team

We are a small, tight-knit team of researchers and engineers who care deeply about our work and each other. We believe that a small group of highly talented, empowered, and efficient people can outperform teams many times their size. Everyone on the team has meaningful ownership over the technical and strategic direction of the company.

Pangram is primarily an in-person company. We are high-touch, high-energy, and extremely collaborative by nature and choose to spend time together to do our best thinking and innovation.

Similar jobs, posted recently

Open roles like this one, listed in the last 30 days.

You've read the whole posting — now see how you match it.