[Job Opportunities] ML for science: Polymathic AI
Shirley Ho
Hello Everyone,
Some exciting Polymathic AI news !
We are expanding and we have New Postdocs and Research Software Engineer openings in New York City, Cambridge, UK and Remote!
Come build foundation models for science with us!
Please indicate your interest on the forms here.
We will send out more information to those aligned with our mission and interest soon.
Postdocs Interest Form:
https://forms.gle/21yttKKuB42KVPD4A
Research Engineers Interest Form:
https://forms.gle/CJeqbjLJ6eDgfP719
More information below ! Feel free to reach out to our admin for administrative questions: tis...@simonsfoundation.org.
Looking forward to building our scientific foundation model with you!
Shirley
More Information below: (scroll down further for the engineering position information)
Postdoc positions:
Responsibilities:
Develop and train large AI models for pressing scientific questions
Develop and apply new methodologies relevant to the initiative, which includes but not limited to large language (and data) model, interpretability, scientific inference in ML, transfer learning.
Curate large datasets pertinent to the initiative
Develop, implement, maintain, and support software relevant to the initiative.
Engage in foundation models for science research
Collaborate with other Research Scientists, Software Engineers, Flatiron Research Fellows, Research Analysts.
Perform any other duties or tasks as required by the initiative
Help build, improve, and support high-quality, open-source software libraries relating to efforts within the group
MINIMUM QUALIFICATIONS
Education
Ph.D. in machine learning, computer science, engineering or related technical discipline.
Experience
Expertise in developing and training AI models.
Experience in solving scientific problems
Proficiency in Python and either PyTorch, JAX, or Tensorflow
Experience with HPC, GPU, or code profiling/optimization is a plus
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
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Research engineers
Responsibilities:
Develop and train large AI models for pressing scientific questions
Curate large datasets pertinent to the initiative
Engage in foundation models for science research
Develop, implement, maintain, and support software relevant to the initiative.
Collaborate with other research scientists, research software engineers, postdocs, research analysts and the team in general.
Lead and improve open-source software practices
Perform any other duties or tasks as required
Help build, improve, and support high-quality, open-source software libraries relating to efforts within the group
Minimum Qualifications:
Education
B.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 AI models.
Proficiency in Python and either PyTorch, JAX, or Tensorflow
Experience with HPC, GPU, or code profiling/optimization is a plus
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
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