———- Forwarded message ———
From: Heider, Cynthia <[email protected]>
Date: Thu, Feb 19, 2026 at 11:04 AM
Subject: [DHSI] Hiring: Penn Libraries AI & Machine Learning Developer
To: [email protected] <[email protected]>

Dear all,

We have an opening for AI & Machine Learning Developer on the Penn
Libraries’ Research Data & Digital Scholarship team. *We **especially** welcome
applicants with a background in **humanities**, arts, and social sciences,
and those with a strong interest in ethical AI practices. *Would you mind
sharing this opening with those who might have interest?

*Position title:* AI & Machine Learning Developer

*Location:* Penn Libraries, University of Pennsylvania (Philadelphia, PA)

*Budgeted pay range: *$66,000.00 – $92,700.00 annually

*Job description summary: *

Reporting to the Head of Digital Scholarship within the Research Data and
Digital Scholarship (RDDS) department, the AI & Machine Learning Developer
will work with students, faculty, and researchers to offer opportunities to
experiment with and adopt data-driven, interdisciplinary methods, including
AI and machine learning. This is a patron-facing role which will support
Penn’s community through workshops, instruction, project work,
consultations, and cultivation of collaborative partnerships. Key
responsibilities include:

– Serve as a developer for AI/ML projects within the digital scholarship
team.
– In collaboration with the RDDS team and others, develop and maintain
open-source tools and evaluate licensed platforms that facilitate AI/ML and
other projects for wider audiences.
– In the context of RDDS’s overall workshop and classroom program,
provide instruction on AI/ML methods as appropriate to the candidate’s
skills and knowledge.
– In collaboration with the wider Penn Libraries, contribute AI/ML
expertise to promote collections as data initiatives, such as the
Manuscript Collections as Data Research Group & Collections Search &
Discoverability.
– Work with the Digital Projects, Publications, and Partnerships team to
plan workflows, review project proposals, and assist as project manager on
some projects.
– Remain abreast of the AI and machine learning field, including
innovations and ethical AI concerns.
– Other duties and responsibilities as assigned.

*For more information*, including duties, qualifications, benefits, and
directions for applying, please visit
https://wd1.myworkdaysite.com/recruiting/upenn/careers-at-penn/job/Van-Pelt-Library/AI—Machine-Learning-Developer_JR00109000

Many thanks,

Cynthia Heider

—
*Cynthia Heider* (*hear my name (https://www.name-coach.com/cynthia-heider)*),
she/her

*Public Digital Scholarship Librarian
(https://www.library.upenn.edu/staff/cynthia-heider)*

Penn Libraries, University of Pennsylvania
*[email protected] <[email protected]>* | (215) 573-3017

📆 *Schedule a consultation
(https://www.library.upenn.edu/detail/person/cynthia-heider)*

🛠️ Browse upcoming workshops
(https://libcal.library.upenn.edu/calendar/rdds) | Request a custom workshop
(https://upenn.libwizard.com/f/rdds_workshop)

✉️ Sign up for the monthly RDDS email newsletter
(https://bit.ly/RDDS-Newsletter)

———- Forwarded message ———
From: Heider, Cynthia <[email protected]>
Date: Thu, Feb 19, 2026 at 11:04 AM
Subject: [DHSI] Hiring: Penn Libraries AI & Machine Learning Developer
To: [email protected] <[email protected]>

Dear all,

We have an opening for AI & Machine Learning Developer on the Penn
Libraries’ Research Data & Digital Scholarship team. *We **especially** welcome
applicants with a background in **humanities**, arts, and social sciences,
and those with a strong interest in ethical AI practices. *Would you mind
sharing this opening with those who might have interest?

*Position title:* AI & Machine Learning Developer

*Location:* Penn Libraries, University of Pennsylvania (Philadelphia, PA)

*Budgeted pay range: *$66,000.00 – $92,700.00 annually

*Job description summary: *

Reporting to the Head of Digital Scholarship within the Research Data and
Digital Scholarship (RDDS) department, the AI & Machine Learning Developer
will work with students, faculty, and researchers to offer opportunities to
experiment with and adopt data-driven, interdisciplinary methods, including
AI and machine learning. This is a patron-facing role which will support
Penn’s community through workshops, instruction, project work,
consultations, and cultivation of collaborative partnerships. Key
responsibilities include:

– Serve as a developer for AI/ML projects within the digital scholarship
team.
– In collaboration with the RDDS team and others, develop and maintain
open-source tools and evaluate licensed platforms that facilitate AI/ML and
other projects for wider audiences.
– In the context of RDDS’s overall workshop and classroom program,
provide instruction on AI/ML methods as appropriate to the candidate’s
skills and knowledge.
– In collaboration with the wider Penn Libraries, contribute AI/ML
expertise to promote collections as data initiatives, such as the
Manuscript Collections as Data Research Group & Collections Search &
Discoverability.
– Work with the Digital Projects, Publications, and Partnerships team to
plan workflows, review project proposals, and assist as project manager on
some projects.
– Remain abreast of the AI and machine learning field, including
innovations and ethical AI concerns.
– Other duties and responsibilities as assigned.

*For more information*, including duties, qualifications, benefits, and
directions for applying, please visit
https://wd1.myworkdaysite.com/recruiting/upenn/careers-at-penn/job/Van-Pelt-Library/AI—Machine-Learning-Developer_JR00109000

Many thanks,

Cynthia Heider

—
*Cynthia Heider* (*hear my name (https://www.name-coach.com/cynthia-heider)*),
she/her

*Public Digital Scholarship Librarian
(https://www.library.upenn.edu/staff/cynthia-heider)*

Penn Libraries, University of Pennsylvania
*[email protected] <[email protected]>* | (215) 573-3017

📆 *Schedule a consultation
(https://www.library.upenn.edu/detail/person/cynthia-heider)*

🛠️ Browse upcoming workshops
(https://libcal.library.upenn.edu/calendar/rdds) | Request a custom workshop
(https://upenn.libwizard.com/f/rdds_workshop)

✉️ Sign up for the monthly RDDS email newsletter
(https://bit.ly/RDDS-Newsletter)