Senior Software Engineer for Research Initiatives

1 week ago

Princeton, New Jersey, United States InsideHigherEd Full time

Overview

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

In this role, you will serve as a key leader and vital member of dynamic research teams dedicated to creating innovative and comprehensive software solutions for advanced AI research, contributing significantly to AI projects alongside Princeton's esteemed researchers. As a Lead Research Software Engineer, you will supervise a team of Research Software Engineers focused on diverse engineering solutions related to large AI models. Your advanced technical expertise and project management skills will be crucial in enhancing the team's computational capabilities and translating key priorities into effective engineering solutions.

Responsibilities

Your responsibilities will include, but are not limited to:

  • Management and Technical Leadership
    • Oversee a team of Research Software Engineers committed to the Initiative's mission, managing their efforts and all team software development activities while establishing project priorities and adhering to best practices in project management.
    • Provide technical expertise and 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 the immediate team, in advanced computational techniques derived from developing innovative research software engineering solutions.
    • Conduct formal training and mentorship for the PLI RSE team in both research software engineering and AI-specific topics.
    • Organize professional development and growth activities for the team, including leading code reviews.
    • Monitor and manage all team projects, architecting a set of applicable best practices tailored to each project (e.g., version control, continuous integration and delivery, software design, programming models, etc.).
    • Conduct annual performance evaluations for direct report RSE staff.
    • Supervise the professional development of direct reports, coordinating activities and events that support skill acquisition and expertise.
    • Build and nurture a diverse, effective, and collaborative group of Research Software Engineers, participating in RSE hiring committees.
    • Create an inclusive environment where best engineering practices are valued and prioritized.
  • Software Development
    • Collaborate with a diverse team to develop and enhance large AI models, conducting experiments, analyzing results, and co-authoring research publications.
    • Develop, maintain, and improve shared infrastructure for training, fine-tuning, and prompting large AI models.
    • Maintain software libraries, environments, and GitHub repositories, providing support for model usage.
    • Document projects in a clear and detailed manner for both researchers and future Research Software Engineers.
    • Act as a liaison with research computing staff on GPU cluster-related issues.
  • Professional Development
    • Engage in learning the underlying science, mathematics, statistics, data analysis, and algorithms relevant to computational research questions, which may involve independent research and staying current with publications.
    • Familiarize yourself with software development tools, techniques, best practices, programming languages, high-performance computing hardware, and computational research 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, Sciences, or a related computational field.
  • Strong coding skills and substantial experience with large AI models.
  • Experience in leading multiple software projects.
  • Familiarity with GPU computing environments and machine learning frameworks and libraries.
  • Prior research experience in AI/ML and contributions to open-source libraries.
  • Excellent written and verbal technical communication skills.

Preferred Requirements:

  • At least 1 year of experience managing a small team.

Additional Information

  • This position offers competitive compensation and attractive working conditions.
  • Access to state-of-the-art research facilities and a new GPU cluster.
  • Opportunities for professional growth and career advancement.
  • A collaborative and inclusive work environment that fosters creativity 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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