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Princeton University Interview Questions

Princeton University Interview Guides

Let’s say that your company is running a standard control and variant AB test on a feature to increase conversion rates on the landing page. The PM checks the results and finds a .04 p-value.

How would you assess the validity of the result?

Experiment Validity

In an A/B test, how can you check if assignment to the various buckets was truly random?

In an A/B test, which of the following is a common method to determine if the assignment to the test groups was truly random?

In an A/B test, which of the following is a common method to determine if the assignment to the test groups was truly random?

Random Bucketing

Suppose there exists a new airline named Jetco that flies domestically across North America. Jetco recently had a study commissioned that tested the boarding time of every airline, and it came out that Jetco had the fastest average boarding times of any airline.

What factors could have biased this result, and what would you look into?

What could potentially bias the average boarding time in favor of an airline that only flies domestically?

What could potentially bias the average boarding time in favor of an airline that only flies domestically?

Boarding Times Bias

A new airline came out as the fastest average boarding times compared to other airlines.  What factors could have biased this result and what would you look into?

Princeton University Salaries by Position

Research Software Engineer I US-NJ-Princeton Job ID: 2024-20160 Type: Full-Time # of Openings: 1 Category: Information Technology Overview

Princeton University seeks candidates for a new position within the fast-growing Research Software Engineering (RSE) Group. The successful candidate will play a crucial role in advancing our research efforts, bringing a strong background in software development, High-Performance Computing, and Machine Learning to the team.

In this position, you will be an integral part of the Maxwell research group in Princeton, collaborating with the Condon Lab at the University of Arizona. You will work on a project that provides fast and accurate watershed forecasting across the US to inform decisions about water management better. This tool will build on the success of HydroGEN, part of the HydroFrame framework, which combines outputs from ParFlow, Machine Learning, and field observations gathered using hf hydrodata. In this role, you will be part of a team of RSEs, faculty, postdocs, and graduate students at Princeton University and the University of Arizona. Part of your role will involve interfacing ParFlow, our hydrology code written in C/C++ and CUDA, with an ML library (e.g., PyTorch) to generate fast and physically consistent results. You will also participate in developing, training, and fine-tuning the Machine Learning model.

The RSE Group collectively provides computational research expertise to multiple divisions within the University. As a central team of software experts, we focus on improving the quality, performance, and sustainability of Princeton's computational research software. Our group is dedicated to creating collaborative and inclusive environments that value the best software engineering practices and to sharing and applying cross-disciplinary computational techniques in new and emerging areas.

If you have a strong background in scientific computing and Machine Learning, you have the proper skill set to impact a high-profile research project immediately. You will have the opportunity to work on a cutting-edge project and learn from experienced professionals, fostering your personal and professional growth. We encourage you to bring your unique perspective and skills to our team.

The role is initially for two years, with the option to extend based on available funding and job performance.

A remote work arrangement within the United States may be considered for candidates with the appropriate background and experience during this term period. University-paid business travel to Princeton, NJ may be required approximately 2-4 times per year.

Responsibilities

Application of Domain Expertise

* Work toward understanding relevant topical areas and corresponding numerical methods in Hydrology necessary for software development projects. This involves team research and independent studies, such as reading publications and studying existing code bases.
* Through collaborations and independent efforts, work with researchers to understand their needs and challenges to develop software solutions that support their work.
* Foster open collaboration via regular meetings and effective communication to ensure software development meets the research objectives.

RSE

* Work independently or as a self-directed team member towards designing, developing, and maintaining software tools and applications for scientific research projects.
* Write efficient, robust, and maintainable code that is well-documented and tested.
* Optimize code performance for large-scale, parallel simulations and modeling.
* Write technical reports and documentation to communicate software development processes and usage.
* Assist in managing software projects by contributing to developing project scopes and planning delivery timelines. Collaborate with the scientific research team to communicate project plans and provide regular progress updates.
* Communicate software engineering concepts to project teams with varying levels of software engineering knowledge.

Professional Development

* Keep up to date with new software technologies and tools that could improve research outcomes.

Qualifications

ESSENTIAL minimum required knowledge, skills, competencies, and abilities

* At least two years as a Research Software Engineer or equivalent experience (e.g., graduate school, industry experience, open-source software development, etc.)
* Strong programming skills, particularly in C/C++, CUDA, and Python
* Expertise in Machine Learning.
* Experience in High-Performance Computing (HPC). Particularly:

Parallel computing (MPI, OpenMP, hybrid CPU/GPU code).
GPU programming.

* Experience with:

Code performance tuning using performance analysis tools (e.g., profilers.)
Working with large gridded datasets.
Cloud-based data. Geospatial data and tools.

* Demonstrated success in:

Consistently using conventional and readable coding style.
Creating comprehensive and well-written documentation.
Developing and maintaining reproducible build systems.
Using modern software development workflows based on Git and Continuous Integration/Continuous Development methods.

* Demonstrated enthusiasm for acquiring new skills and understanding emerging technologies beyond your current areas of expertise.
* Ability to communicate efficiently with users who have different degrees of technical proficiency.
* Experience with HPC cluster environments (e.g., workflow manager, parallel file system).
* Demonstrated successes working independently and in a collaborative software development environment ("team science," often geographically distributed).
* Education: A Master's degree in computer science, engineering, physical science, or a related computational field is required.

PREFERRED knowledge, skills, abilities, experience, and other education

* Experience with numerical methods in scientific programming.
* Experience working in an academic research environment.

Princeton University is an Equal Opportunity/Affirmative Action Employer - https://rrr.princeton.edu/eop and all qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity or expression, national origin, disability status, protected veteran status, or any other characteristic protected by law. KNOW YOUR RIGHTS - https://www.eeoc.gov/sites/default/files/2022-10/EEOCKnowYourRights screen reader 10 20.pdf

https://www.click2apply.net/kGe47VcDaDpYJIg7qU2jxD Apply Here: https://www.click2apply.net/kGe47VcDaDpYJIg7qU2jxDPI254962661

Overview:

The Violence and Inequality Project (VIP), part of the Princeton School of Public and International Affairs, is seeking a full-time Programmer/Data Scientist. The ideal candidate will have a strong background in programming in R and Python, particularly in the context of simulation and modeling. Any experience programming with Julia would be a bonus, although it is not necessary. Candidates should be interested in applying computational techniques to the study of interventions designed to confront violence. The Programmer is expected to work full-time and will work closely with Principal Investigator, Patrick Sharkey.

This is a one-year term limited position, with possibility of extension conditional on funding. This position will be fully onsite in Princeton, NJ.

Responsibilities:

Design, develop, and implement agent-based models (ABMs) for various applications, including social, economic, environmental, and biological systems.

Write clean, efficient, and well-documented code to simulate agent behaviors and interactions within complex systems.

Validate and refine models through rigorous testing and calibration against real-world data.

Optimize model performance and scalability to handle large-scale simulations.

Assist in the interpretation and presentation of simulation results to inform decision-making processes.

Work with other team members to convert code developed in R into Python and Julia.

Collaborate with cross-functional teams, including data scientists, domain experts, and stakeholders, to define model objectives and parameters.

Stay up-to-date with the latest advancements in agent-based modeling, simulation techniques, and relevant programming languages or tools.

Contribute to the publication of research findings in scientific journals or industry reports, where applicable.

Qualifications:

ESSENTIAL Minimum Required Knowledge, Skills, Competencies, and Abilities:

Bachelors or equivalent in Computer Science, Computational Science, Engineering, Mathematics, or a related field or post-doctoral candidate.

Substantial experience coding in Python and R.

Strong understanding of algorithms, data structures, and computational theory.

Experience with data analysis and visualization tools to interpret simulation results.

Ability to work independently and collaboratively in a multidisciplinary team environment.

Demonstrated interest in applying computational methods to the study of public policy, and particular interest in the challenge of gun violence.

Excellent problem-solving skills and attention to detail.

Strong written and verbal communication skills.

PREFERRED Knowledge, Skills, Abilities, Experience, and Other Education:

Master's degree in Computer Science, Computational Science, Engineering, Mathematics, or a related field or post-doctoral candidate.

Experience with machine learning techniques and their integration into agent-based models.

Familiarity with parallel computing and cloud-based simulation environments.

Knowledge of specific domains such as epidemiology or social sciences.

Familiarity with web-scraping and HTML.

Proven experience in developing agent-based models or similar simulation models.

Demonstrated interest in applying computational methods to the study of public policy, and particular interest in the challenge of gun violence.

We at the School of Public and International Affairs believe that it is vital to cultivate an environment that embraces and promotes diversity, equity and inclusion - fundamental to the success of our education and research mission. This commitment to diversity informs our efforts in recruitment and hiring as we actively seek colleagues of exceptional ability who represent a broad range of viewpoints, experiences and value systems, and who share Princeton University's dedication to excellence.

Princeton University is an Equal Opportunity/Affirmative Action Employer and all qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity or expression, national origin, disability status, protected veteran status, or any other characteristic protected by law.

Standard Weekly Hours: 36.25

Eligible for Overtime: No

Benefits Eligible: Yes

Probationary Period: 180 days

Essential Services Personnel: No

Physical Capacity Exam Required: No

Valid Driver’s License Required: No

Experience Level: Director : #Ll-DP1

#J-18808-Ljbffr

Overview: The Princeton Language and Intelligence Initiative at Princeton University invites applications for a Lead Research Software Engineer. This multidisciplinary initiative has three Research thrusts: (a) Better design, evaluation, safety and understanding of large AI models (especially language models); (b) Applications of large AI models to many academic disciplines; and (c) Studying the impact of large AI models on society and the world. The Initiative will produce open-source software and models. In this position, you will be a lead and integral member of dynamic research teams focused on building innovative and complete software solutions for cutting-edge AI research and making fundamental contributions to AI projects with Princetons world-class researchers. As a Lead RSE, you will oversee a team of Research Software Engineers working on varied engineering solutions associated with large AI models. You will bring your advanced technical knowledge and project management experience to raise the computational capability of the team and translate key PLI priorities into engineering solutions. The term of this appointment is 3 years, with the possibility of renewal based upon satisfactory performance and funding. The position is located in Princeton, NJ with the possibility for some flexible work arrangements. This is not a remote position. Responsibilities: Job responsibilities will include a subset of the following: Management and Technical Leadership <ul> <li>Directly oversee a team of RSEs dedicated to PLIs mission. Responsible for managing their effort and all team software development work while establishing project priorities and following best practices in project management. </li><li>Lead the team in providing technical expertise and guidance for improving the performance and quality of new and existing code bases through hands-on work with ongoing research. </li><li>Mentor, instruct and educate less experienced Research Software Engineers, including those outside the direct team (including PLI researchers), in advanced computational techniques learned from developing novel research software engineering project solutions. </li><li>Formally train and mentor the members of the PLI RSE team in both research software engineering as well as AI-specific topics. </li><li>Organize professional development and professional growth activities for the team. This includes leading code reviews within their projects. </li><li>Monitor and manage all team projects and architect a set of applicable best practices uniquely appropriate for that project (e.g., version control, continuous integration and continuous delivery, software design, programming model, etc.). </li><li>Conduct Annual Performance Reviews for direct report RSE staff. </li><li>Supervise professional development of direct reports, including the coordination of activities and events supporting the acquisition of new skills and expertise. </li><li>Build and develop a diverse, effective, and collaborative group of Research Software Engineers and participate in other RSE hiring committees. </li><li>Create an inclusive atmosphere and environment in which best engineering practices are valued, shared, and prioritized. </li></ul> Software Development <ul> <li>Collaborate with our diverse team to help develop and improve large AI models, helping conduct experiments, analyze results, and co-author research publications. </li><li>Develop, maintain, and improve our shared infrastructure for training / fine-tuning and prompting large AI models. </li><li>Maintain software libraries/environment/GitHub repositories and support model use. </li><li>Provide support for use of these libraries in the core AI models group as well as for interdisciplinary work. This includes documentation of projects in a descriptive and appropriately detailed manner that can be understood by both researchers and future Research Software Engineers. </li><li>Serve as liaison with Princeton Research Computing staff on GPU cluster related issues. </li></ul> Professional Development <ul> <li>Learn the underlying science, mathematics, statistics, data analysis, and algorithms of computational research questions. This may involve independent research, studying existing code bases, and keeping up-to-date with publications. </li><li>Build awareness of software development tools and techniques, software engineering best practices, programming languages, high-performance computing hardware, and computational research solutions. </li><li>Access to a community of about two dozen research software engineers as well as continued professional development opportunities at Princeton Research Computing. </li></ul> Qualifications: Essential Requirements: <ul> <li>A Bachelor/Masters degree in Computer Science, Engineering, Sciences, or related computational field is required. </li><li>Solid coding skills and good experience with large AI models. </li><li>Experience leading multiple software projects </li><li>Familiarity with GPU computing environments and ML frameworks and libraries (e.g,, DeepSpeed, HuggingFace). </li><li>Prior research experience in AI/ML and/or contributions to open-source libraries. </li><li>Strong written and oral technical communication skills. </li></ul> Preferred Requirements: <ul> <li>1+ years experience managing a small team </li></ul> Additional Information <ul> <li>This position is located in Princeton, NJ with the possibility for some flexible work arrangements. This is not a remote position. </li><li>The position is up to a 3-year term, with a possibility of reappointment. </li><li>Competitive compensation package with attractive work conditions. </li><li>Access to state-of-the-art research facilities and a new GPU cluster. </li><li>Opportunities for professional growth and career advancement. </li><li>Collaborative and inclusive work environment that fosters creativity and innovation. </li></ul> If you are passionate about advancing AI research, working alongside leading researchers, and contributing to impactful open-source projects, we encourage you to apply for this position. Elevating the individual within a culture of collaboration, Princeton University is a powerful foundation upon which to build ones career and family. Princetons competitive array of benefits reflects a holistic approach to supporting individuals and their families at work and beyond. The University is also an engaging, transformative resource in and of itself. From opportunities for collaboration to world-class research and cultural facilities, you will find all manner of spaces that bring people together and inspire new ideas. Princeton, NJ is one of the countrys most historic communities. Situated midway between Philadelphia and New York City, Princeton is a charming and walking-friendly small town with easy access to neighboring cities. In 2022 Niche Magazine rated the Princeton Public Schools as one of the top public school districts in NJ and included Princeton on its list of the best places to live in America. Princeton University is an Equal Opportunity/Affirmative Action Employer and all qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity or expression, national origin, disability status, protected veteran status, or any other characteristic protected by law. KNOW YOUR RIGHTS Standard Weekly Hours: 36.25 Eligible for Overtime: No Benefits Eligible: Yes Probationary Period: 180 days Essential Services Personnel (see policy for detail): No Physical Capacity Exam Required: No Valid Drivers License Required: No Experience Level: Director : #Ll-DP1

Overview: Prof. Sam Wang performs research on aggregated decisionmaking through rule systems. This work includes research into electoral mechanisms including the Electoral College, redistricting, and voting rules. As part of these efforts, the Princeton Gerrymandering Project is recruiting a Computational Research Analyst.The Computational Research Analyst will develop computational analysis of redistricting and voting rules, toward the goal of performing analytics and scholarship relevant to identifying the performance characteristics and inefficiencies of U.S. democracy. The work will be made publicly available through peer-reviewed scientific scholarship as well as publicly available databases that may be of use to a variety of audiences. A principal duty will be the updating and maintenance of the Princeton Gerrymandering Project, a comprehensive resource for Congressional and legislative redistricting. The work will include dissemination and archival of codebooks, scripts, map content, and analytics. Other work includes the investigation of electoral rules such as ranked-choice voting and other modifications, with the goal of quantifying functional impacts. Translation to general audiences is part of the work and will produce content that is understandable to nontechnical readers. This comes in addition to other scholarship in scientific, statistical, and law journals.This position is suitable for someone with graduate or postgraduate level competence in one or more relevant subject areas, including computational simulation, model testing, and geospatial analysis. The term of this appointment is 1 year, with the possibility of renewal based upon satisfactory performance and funding. Responsibilities: <ul><li>Maintain and expand a high-quality database of computationally-driven analysis of redistricting plans for all 50 states combining census data, precinct-level results, and other information using Python (including numpy) and GIS software.</li><li>Publish codebooks and datasets to allow public access to analysis, and to drive legal and academic scholarship.</li><li>Perform original computationally-intensive research on ranked-choice voting and other proposed changes to U.S. electoral institutions.</li><li>Conduct technical analysis for state and local-level partner organizations that are working on redistricting.</li><li>Coordinate with nonprofit organizations and collaborators in several states.</li><li>Cultivate collaborations with Mapbox and other platforms that can contribute to the build-out of Representable and the Princeton Election Consortium.</li></ul> Qualifications: <ul><li style="margin: 0in 0in 8.0pt 0in;">This position requires a bachelors degree in computer science, statistics, or physics with 2+ years of experience. More experienced applicants are also welcome. </li><li style="margin: 0in 0in 8.0pt 0in;">Strong quantitative and programming background (Python, QGIS)</li><li style="margin: 0in 0in 8.0pt 0in;">A willingness to learn GIS software and other programs or tools necessary for the project</li><li style="margin: 0in 0in 8.0pt 0in;">Experience gathering and combining data from many disparate sources</li><li style="margin: 0in 0in 8.0pt 0in;">An interest in law, government, or democratic reform</li><li style="margin: 0in 0in 8.0pt 0in;">Ability to balance and work on several projects simultaneously and successfully </li><li style="margin: 0in 0in 8.0pt 0in;">Strong orientation toward teamwork and collaborative research</li></ul>Preferred Qualifications <ul><li style="margin: 0in 0in 8.0pt 0in;"> Background in high-performance computing (C, C++, or a comparable language) a plus. </li><li style="margin: 0in 0in 8.0pt 0in;"> Excellent writing and verbal presentation skills also highly desired.</li></ul>Princeton University is an <a href="https://rrr.princeton.edu/eop" target="_blank" style="text-decoration: none;" rel="noopener"> Equal Opportunity/Affirmative Action Employer</a> and all qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity or expression, national origin, disability status, protected veteran status, or any other characteristic protected by law. <a href="https://www.eeoc.gov/sites/default/files/2022-10/EEOC_KnowYourRights_screen_reader_10_20.pdf" target="_blank" style="text-decoration: none;" rel="noopener"> KNOW YOUR RIGHTS </a> Standard Weekly Hours: 36.25 Eligible for Overtime: No Benefits Eligible: Yes Probationary Period: 180 days Essential Services Personnel (see policy for detail): No Physical Capacity Exam Required: No Valid Drivers License Required: No Experience Level: Associate : #LI-JJ1

Overview: The Princeton Language and Intelligence Initiative at Princeton University invites applications for a Lead Research Software Engineer . This multidisciplinary initiative has three Research thrusts: (a) Better design, evaluation, safety and understanding of large AI models (especially language models); (b) Applications of large AI models to many academic disciplines; and (c) Studying the impact of large AI models on society and the world. The Initiative will produce open-source software and models. In this position, you will be a lead and integral member of dynamic research teams focused on building innovative and complete software solutions for cutting-edge AI research and making fundamental contributions to AI projects with Princetons world-class researchers. As a Lead RSE, you will oversee a team of Research Software Engineers working on varied engineering solutions associated with large AI models. You will bring your advanced technical knowledge and project management experience to raise the computational capability of the team and translate key PLI priorities into engineering solutions. The term of this appointment is 3 years, with the possibility of renewal based upon satisfactory performance and funding. The position is located in Princeton, NJ with the possibility for some flexible work arrangements. This is not a remote position. Responsibilities: Job responsibilities will include a subset of the following: Management and Technical Leadership Directly oversee a team of RSEs dedicated to PLIs mission. Responsible for managing their effort and all team software development work while establishing project priorities and following best practices in project management. Lead the team in providing technical expertise and guidance for improving the performance and quality of new and existing code bases through hands-on work with ongoing research. Mentor, instruct and educate less experienced Research Software Engineers, including those outside the direct team (including PLI researchers), in advanced computational techniques learned from developing novel research software engineering project solutions. Formally train and mentor the members of the PLI RSE team in both research software engineering as well as AI-specific topics. Organize professional development and professional growth activities for the team. This includes leading code reviews within their projects. Monitor and manage all team projects and architect a set of applicable best practices uniquely appropriate for that project (e.g., version control, continuous integration and continuous delivery, software design, programming model, etc.). Conduct Annual Performance Reviews for direct report RSE staff. Supervise professional development of direct reports, including the coordination of activities and events supporting the acquisition of new skills and expertise. Build and develop a diverse, effective, and collaborative group of Research Software Engineers and participate in other RSE hiring committees. Create an inclusive atmosphere and environment in which best engineering practices are valued, shared, and prioritized. Software Development Collaborate with our diverse team to help develop and improve large AI models, helping conduct experiments, analyze results, and co-author research publications. Develop, maintain, and improve our shared infrastructure for training / fine-tuning and prompting large AI models. Maintain software libraries/environment/GitHub repositories and support model use. Provide support for use of these libraries in the core AI models group as well as for interdisciplinary work. This includes documentation of projects in a descriptive and appropriately detailed manner that can be understood by both researchers and future Research Software Engineers. Serve as liaison with Princeton Research Computing staff on GPU cluster related issues. Professional Development Learn the underlying science, mathematics, statistics, data analysis, and algorithms of computational research questions. This may involve independent research, studying existing code bases, and keeping up-to-date with publications. Build awareness of software development tools and techniques, software engineering best practices, programming languages, high-performance computing hardware, and computational research solutions. Access to a community of about two dozen research software engineers as well as continued professional development opportunities at Princeton Research Computing. Qualifications: Essential Requirements: A Bachelor/Masters degree in Computer Science, Engineering, Sciences, or related computational field is required. Solid coding skills and good experience with large AI models. Experience leading multiple software projects Familiarity with GPU computing environments and ML frameworks and libraries (e.g,, DeepSpeed, HuggingFace). Prior research experience in AI/ML and/or contributions to open-source libraries. Strong written and oral technical communication skills. Preferred Requirements: 1 years experience managing a small team Additional Information This position is located in Princeton, NJ with the possibility for some flexible work arrangements. This is not a remote position. The position is up to a 3-year term, with a possibility of reappointment. Competitive compensation package with attractive work conditions. Access to state-of-the-art research facilities and a new GPU cluster. Opportunities for professional growth and career advancement. Collaborative and inclusive work environment that fosters creativity and innovation. If you are passionate about advancing AI research, working alongside leading researchers, and contributing to impactful open-source projects, we encourage you to apply for this position. Elevating the individual within a culture of collaboration, Princeton University is a powerful foundation upon which to build ones career and family. Princetons competitive array of benefits reflects a holistic approach to supporting individuals and their families at work and beyond. The University is also an engaging, transformative resource in and of itself. From opportunities for collaboration to world-class research and cultural facilities, you will find all manner of spaces that bring people together and inspire new ideas. Princeton, NJ is one of the countrys most historic communities. Situated midway between Philadelphia and New York City, Princeton is a charming and walking-friendly small town with easy access to neighboring cities. In 2022 Niche Magazine rated the Princeton Public Schools as one of the top public school districts in NJ and included Princeton on its list of the best places to live in America. Princeton University is an Equal Opportunity/Affirmative Action Employer and all qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity or expression, national origin, disability status, protected veteran status, or any other characteristic protected by law. KNOW YOUR RIGHTS Standard Weekly Hours: 36.25 Eligible for Overtime: No Benefits Eligible: Yes Probationary Period: 180 days Essential Services Personnel (see policy for detail): No Physical Capacity Exam Required: No Valid Drivers License Required: No Experience Level: Director : Ll-DP1

Overview: The Princeton Language and Intelligence Initiative at Princeton University invites applications for a Lead Research Software Engineer . This multidisciplinary initiative has three Research thrusts: (a) Better design, evaluation, safety and understanding of large AI models (especially language models); (b) Applications of large AI models to many academic disciplines; and (c) Studying the impact of large AI models on society and the world. The Initiative will produce open-source software and models. In this position, you will be a lead and integral member of dynamic research teams focused on building innovative and complete software solutions for cutting-edge AI research and making fundamental contributions to AI projects with Princetons world-class researchers. As a Lead RSE, you will oversee a team of Research Software Engineers working on varied engineering solutions associated with large AI models. You will bring your advanced technical knowledge and project management experience to raise the computational capability of the team and translate key PLI priorities into engineering solutions. The term of this appointment is 3 years, with the possibility of renewal based upon satisfactory performance and funding. The position is located in Princeton, NJ with the possibility for some flexible work arrangements. This is not a remote position. Responsibilities: Job responsibilities will include a subset of the following: Management and Technical Leadership Directly oversee a team of RSEs dedicated to PLIs mission. Responsible for managing their effort and all team software development work while establishing project priorities and following best practices in project management. Lead the team in providing technical expertise and guidance for improving the performance and quality of new and existing code bases through hands-on work with ongoing research. Mentor, instruct and educate less experienced Research Software Engineers, including those outside the direct team (including PLI researchers), in advanced computational techniques learned from developing novel research software engineering project solutions. Formally train and mentor the members of the PLI RSE team in both research software engineering as well as AI-specific topics. Organize professional development and professional growth activities for the team. This includes leading code reviews within their projects. Monitor and manage all team projects and architect a set of applicable best practices uniquely appropriate for that project (e.g., version control, continuous integration and continuous delivery, software design, programming model, etc.). Conduct Annual Performance Reviews for direct report RSE staff. Supervise professional development of direct reports, including the coordination of activities and events supporting the acquisition of new skills and expertise. Build and develop a diverse, effective, and collaborative group of Research Software Engineers and participate in other RSE hiring committees. Create an inclusive atmosphere and environment in which best engineering practices are valued, shared, and prioritized. Software Development Collaborate with our diverse team to help develop and improve large AI models, helping conduct experiments, analyze results, and co-author research publications. Develop, maintain, and improve our shared infrastructure for training / fine-tuning and prompting large AI models. Maintain software libraries/environment/GitHub repositories and support model use. Provide support for use of these libraries in the core AI models group as well as for interdisciplinary work. This includes documentation of projects in a descriptive and appropriately detailed manner that can be understood by both researchers and future Research Software Engineers. Serve as liaison with Princeton Research Computing staff on GPU cluster related issues. Professional Development Learn the underlying science, mathematics, statistics, data analysis, and algorithms of computational research questions. This may involve independent research, studying existing code bases, and keeping up-to-date with publications. Build awareness of software development tools and techniques, software engineering best practices, programming languages, high-performance computing hardware, and computational research solutions. Access to a community of about two dozen research software engineers as well as continued professional development opportunities at Princeton Research Computing. Qualifications: Essential Requirements: A Bachelor/Masters degree in Computer Science, Engineering, Sciences, or related computational field is required. Solid coding skills and good experience with large AI models. Experience leading multiple software projects Familiarity with GPU computing environments and ML frameworks and libraries (e.g,, DeepSpeed, HuggingFace). Prior research experience in AI/ML and/or contributions to open-source libraries. Strong written and oral technical communication skills. Preferred Requirements: 1 years experience managing a small team Additional Information This position is located in Princeton, NJ with the possibility for some flexible work arrangements. This is not a remote position. The position is up to a 3-year term, with a possibility of reappointment. Competitive compensation package with attractive work conditions. Access to state-of-the-art research facilities and a new GPU cluster. Opportunities for professional growth and career advancement. Collaborative and inclusive work environment that fosters creativity and innovation. If you are passionate about advancing AI research, working alongside leading researchers, and contributing to impactful open-source projects, we encourage you to apply for this position. Elevating the individual within a culture of collaboration, Princeton University is a powerful foundation upon which to build ones career and family. Princetons competitive array of benefits reflects a holistic approach to supporting individuals and their families at work and beyond. The University is also an engaging, transformative resource in and of itself. From opportunities for collaboration to world-class research and cultural facilities, you will find all manner of spaces that bring people together and inspire new ideas. Princeton, NJ is one of the countrys most historic communities. Situated midway between Philadelphia and New York City, Princeton is a charming and walking-friendly small town with easy access to neighboring cities. In 2022 Niche Magazine rated the Princeton Public Schools as one of the top public school districts in NJ and included Princeton on its list of the best places to live in America. Princeton University is an Equal Opportunity/Affirmative Action Employer and all qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity or expression, national origin, disability status, protected veteran status, or any other characteristic protected by law. KNOW YOUR RIGHTS Standard Weekly Hours: 36.25 Eligible for Overtime: No Benefits Eligible: Yes Probationary Period: 180 days Essential Services Personnel (see policy for detail): No Physical Capacity Exam Required: No Valid Drivers License Required: No Experience Level: Director : Ll-DP1

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