Center for Data Science at NYU seeks a full-time software engineer 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. Polymathic AI 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 developing software and leveraging large AI models to solve pressing scientific challenges.
The hired engineer will have access to computational resources allowing training of large AI models. We offer an exciting multidisciplinary context for researching AI and its applications.
The Software Engineer will report to Shirley Ho, Senior Research Scientist and is a full-time fixed term position with a duration of one year, with possible renewals. This position is based on site at the Center for Data Science at NYU'
ESSENTIAL FUNCTIONS/RESPONSIBILITIES
Develop and train large AI models for science
Curate large datasets pertinent to the initiative
Develop, implement, maintain, and support software relevant to the initiative.
Engage in research on foundation models for science
Collaborate with other Software Engineers, Flatiron Research Fellows, Research Analysts.
Lead and improve open-source software practices
In compliance with NYC's Pay Transparency Act, the annual base salary range for this position is $120,000-$150,000.
Minimum Qualifications
EducationB.S., M.S. or Ph.D. in machine learning, computer science, engineering or related technical discipline.
Experience
At least three years? experience with software development in a research setting
Expertise in developing and training large AI models.
Proficiency in Python and either PyTorch, JAX, or Tensorflow
Experience with HPC, GPU, or code profiling is required
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
REQUIRED APPLICATION MATERIALS
CV including possibly previous projects, software repositories, publications
Description of previous research experience (not to exceed 2 pages, including figures).
Three (3) letters of recommendation submitted confidentially by the letter via Interfolio application.
Applications will be reviewed as they are received until November 15, 2024, and we will fill the position on a rolling basis. Earlier applications are strongly encouraged.
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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.
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