Polymathic AI Research Scientist

Description

Join Polymathic AI: Pioneering the Future of AI-Driven Scientific Discovery!

 

Polymathic AI is looking for full-time Research Scientists to join our team in building next-generation Foundation Models for Science at NYU CDS. Recent breakthroughs in Large Language Models and diffusion-based generative models have propelled AI into new frontiers. At Polymathic AI, we are harnessing these advances to develop powerful, interpretable AI models with transformative applications across scientific disciplines—from astrophysics and biology to solar physics and material sciences.

 

As part of our team, you'll collaborate with leading researchers from diverse scientific domains, pushing the boundaries of AI to solve some of the most pressing scientific challenges. With access to competitive computational resources, we offer an exciting multidisciplinary environment where machine learning meets real-world scientific impact.

What You’ll Do:

• Conduct cutting-edge research at the intersection of AI and science

• Develop large-scale deep learning models for scientific discovery

• Work closely with experts in machine learning, domain sciences, and AI

• Contribute to the development of interpretable and high-performing AI models

• Develop and train large AI models for science

• Collaborate and/or mentor other students, postdocs, Software Engineers, Research Analysts and Research Scientists.

In compliance with NYC’s Pay Transparency Act, the full-time annual compensation range for the Research Scientist level is $120,000 - $250,000 depending on experience.

Why Join Us?

• Collaborate with a world-class, interdisciplinary team

• Access state-of-the-art compute capabilities for large-model training

• Be part of a mission to redefine how AI advances scientific understanding

 

This full-time, fixed-term position is based on-site at NYU’s Center for Data Science in New York City, with an initial one-year appointment and potential for extension.

If you’re passionate about shaping the future of AI for science, we’d love to hear from you!

Deadline 

• Applications will be reviewed starting April 2, 2025 and we will fill the positions on a rolling basis. Earlier applications are strongly encouraged.

Qualifications

• Education: Ph.D. in machine learning, computer science, engineering or related technical discipline.
• Experience: 

• • Experience in developing novel ML architectures

  • Expertise in developing and training large AI models is preferred

  • Research expertise in one major area of computational science is preferred.

  • Proficiency in Python and either PyTorch or JAX

  • Experience with HPC, GPU is preferred

• Related Skills and Other Requirements 

  • Ability to collaborate on multidisciplinary research in a collegial environment

  • Ability to lead, develop and contribute to projects 

  • Effective communication skills

  • Ability to work both independently and collaboratively 

  • Technical and scientific curiosity 

  • Professional communication skills 

Application Instructions

   REQUIRED APPLICATION MATERIALS

• CV including publication list and software repositories

• A research statement highlighting previous research and future research agenda

• Three (3) letters of recommendation submitted confidentially by the letter writer via Interfolio application.

Equal Employment Opportunity Statement

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