Chief Research Software Engineer

2 weeks ago

Princeton, New Jersey, United States InsideHigherEd Full time

Position Overview

The Princeton Language and Intelligence Initiative at Princeton University is seeking a Chief Research Software Engineer. This initiative encompasses three primary research areas: (a) Enhancing the design, evaluation, safety, and comprehension of extensive AI models, particularly language models; (b) Implementing large AI models across various academic fields; and (c) Investigating the societal implications of large AI models. The initiative aims to develop open-source software and models.

As a key member of our innovative research teams, you will play a pivotal role in creating comprehensive software solutions for advanced AI research, contributing significantly to projects alongside Princeton's esteemed researchers. In this leadership role, you will manage a team of Research Software Engineers, focusing on diverse engineering solutions related to large AI models. Your expertise in technical knowledge and project management will enhance the team's computational capabilities and translate essential priorities into effective engineering solutions.

Responsibilities

Your responsibilities will include, but are not limited to:

  • Management and Technical Leadership
    • Oversee a dedicated team of Research Software Engineers, managing their efforts and software development tasks while establishing project priorities and adhering to best practices in project management.
    • Provide technical guidance to enhance the performance and quality of both new and existing codebases through hands-on involvement in ongoing research.
    • Mentor and educate less experienced Research Software Engineers, including those outside your immediate team, in advanced computational techniques derived from innovative research software engineering solutions.
    • Conduct formal training sessions for the PLI RSE team in both research software engineering and AI-specific topics.
    • Organize professional development activities for the team, including leading code reviews.
    • Monitor and manage all team projects, architecting applicable best practices tailored to each project.
    • Conduct annual performance evaluations for direct report staff.
    • Supervise the professional development of team members, coordinating activities that foster skill acquisition.
    • Build a diverse and collaborative team of Research Software Engineers and participate in hiring committees.
    • Create an inclusive environment that prioritizes and shares best engineering practices.
  • Software Development
    • Collaborate with a diverse team to develop and enhance large AI models, conducting experiments, analyzing results, and co-authoring research publications.
    • Maintain and improve shared infrastructure for training and fine-tuning large AI models.
    • Support the use of software libraries and manage GitHub repositories.
    • Document projects in a clear and detailed manner for both researchers and future Research Software Engineers.
    • Act as a liaison with research computing staff regarding GPU cluster issues.
  • Professional Development
    • Engage in learning the foundational science, mathematics, statistics, data analysis, and algorithms pertinent to computational research questions.
    • Stay informed about software development tools, techniques, best practices, programming languages, and high-performance computing solutions.
    • Access a community of research software engineers and ongoing professional development opportunities.

Qualifications

Essential Requirements:

  • A Bachelor’s or Master’s degree in Computer Science, Engineering, or a related computational field.
  • Proficient coding skills and substantial experience with large AI models.
  • Experience in leading multiple software projects.
  • Familiarity with GPU computing environments and machine learning frameworks.
  • Prior research experience in AI/ML and contributions to open-source libraries.
  • Strong written and verbal technical communication skills.

Preferred Requirements:

  • Over one year of experience managing a small team.

Additional Information

  • This position offers a competitive compensation package and access to state-of-the-art research facilities.
  • Opportunities for professional growth and career advancement are available.
  • The work environment promotes collaboration and innovation.

If you are dedicated to advancing AI research and contributing to impactful open-source projects, we encourage you to consider this opportunity.

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