Flatiron Research Fellow, Foundation Models for Science (AI/Machine Learning)

Description

POSITION SUMMARY 

The Simons Foundation’s Flatiron Institute seeks a full-time Research Fellow position as part of its new initiative, Polymathic AI, Building Foundation Models for Science.  Recent advances in machine learning, including Large Language Models and diffusion based generative models have driven significant advances in Artificial Intelligence. The Flatiron Institute seeks to leverage these ideas  to develop the next generation of AI-powered scientific analysis tools, seeking more powerful  and more interpretable models with broad applications to many scientific disciplines. Our group  includes researchers from multiple scientific disciplines ranging from machine learning, to  astrophysics, biology, neuroscience and quantum computing.  

The selected candidates will work closely with a group of computer scientists, domain scientists,  and AI experts in researching and developing large deep learning models to solve pressing scientific challenges.

The Flatiron Institute has computational capabilities allowing training of large AI models. We offer an exciting multidisciplinary context for researching AI and its  applications.

The Flatiron Research Fellow will report to the Group Leader and is a full-time fixed term position with an initial appointment of one year and the possibility to be extended. This position is based on site in Simons Foundation’s offices in New York City.

For more information about careers at the Flatiron Institute, please visit https:// www.simonsfoundation.org/flatiron/careers. 

ESSENTIAL FUNCTIONS/RESPONSIBILITIES 

• Conduct fundamental research at the frontier of large models for science

• Develop and train large AI models for science

• Curate large datasets pertinent to the initiative

• Develop software relevant to the initiative. 

• Collaborate with other Flatiron Research Fellows, Software Engineers, Research Analysts.

Qualifications

MINIMUM QUALIFICATIONS

Education 

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

Experience 

• Expertise in developing and training large AI models.  

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

• Proficiency in Python and either PyTorch or JAX

• Experience with HPC, GPU, or code profiling is preferred

• Knowledge of software engineering practices for working in groups, including software development life cycles, coding standards, code review, and version control

Related Skills and Other Requirements 

• Ability to collaborate on multidisciplinary research in a collegial environment

• Ability to lead, develop and contribute to software projects 

• Effective communication, documentation, and user-support 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.

Deadline 

• Applications will be reviewed as they are received until October 15, 2024, and we will fill the positions on a rolling basis. Earlier applications are strongly encouraged.

COMPENSATION AND BENEFITS 

• The full-time annual compensation range for the Flatiron Research Fellow level is $90,000.

• In addition to competitive salaries, the Simons Foundation provides employees with an outstanding benefits package.

Equal Employment Opportunity Statement

SIMONS FOUNDATION'S DIVERSITY COMMITMENT

Many of the greatest ideas and discoveries come from a diverse mix of minds, backgrounds and experiences, and we are committed to cultivating an inclusive work environment. The Simons Foundation actively seeks a diverse applicant pool and encourages candidates of all backgrounds to apply. We provide equal opportunities to all employees and applicants for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, genetic disposition, neurodiversity, disability, veteran status, or any other protected category under federal, state and local law.