at New York University
Full TimeJoin 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.
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.
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
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
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.
For people in the EU, click here for information on your privacy rights under GDPR: www.nyu.edu/it/gdpr
NYU is an Equal Opportunity Employer and is committed to a policy of equal treatment and opportunity in every aspect of its recruitment and hiring process without regard to age, alienage, caregiver status, childbirth, citizenship status, color, creed, disability, domestic violence victim status, ethnicity, familial status, gender and/or gender identity or expression, marital status, military status, national origin, parental status, partnership status, predisposing genetic characteristics, pregnancy, race, religion, reproductive health decision making, sex, sexual orientation, unemployment status, veteran status, or any other legally protected basis. Women, racial and ethnic minorities, persons of minority sexual orientation or gender identity, individuals with disabilities, and veterans are encouraged to apply for vacant positions at all levels.
Sustainability Statement
NYU aims to be among the greenest urban campuses in the country and carbon neutral by 2040. Learn more at nyu.edu/sustainability
Yearly based
New York, NY
