AI & Machine Learning Developer

University of Pennsylvania•Houghton, MI

2d•$66,000 - $92,700

About The Position

The Research Data and Digital Scholarship (RDDS) team at the University of Pennsylvania Libraries is looking for an AI & Machine Learning (Al/ML) Developer. The University’s Strategic Plan, “In Principle & Practice,” articulates a desire to lead on the great challenges and opportunities of our time using cutting-edge approaches and interdisciplinary thinking. A key challenge is to provide leading expertise around data-driven research and the use of AI, areas that fit directly within the RDDS’s mission. The Libraries’ Strategic Plan, "Knowledge for Life,” also places the Penn Libraries at the nexus of student learning and breakthrough research. Finally, the PennAI mission is to drive responsible AI innovation in a strategic direction. Our Research Data & Digital Scholarship department addresses these aims by giving students, faculty, and researchers opportunities to experiment with and adopt data-driven, interdisciplinary methods, including AI and machine learning. As a member of the Penn Libraries’ Research Data & Digital Scholarship team, the AI & Machine Learning Developer will demonstrate excellent knowledge of various methods and techniques necessary to integrate emerging uses of AI/ML technologies in scholarly applications. The successful candidate will also be expected to keep abreast of developing trends in AI/ML methods, tools, and applications, and have a strong interest in ethical AI practices. This position will play a key role in the library’s efforts to meet emerging technical needs for AI and machine learning applications in research, working with Penn faculty and students to advise on and develop tools and models, such as eScriptorium for Handwritten Text Recognition (HTR). Alongside RDDS’s Applied Data Science Librarian, the candidate will support Penn’s community through workshops on popular and emerging topics, such as the use and fine-tuning of small models. They will also work with the Libraries staff to support the use of AI/ML internally to increase the discoverability and use of the Libraries’ unique and valuable resources and collections. As a patron-focused member of a service-oriented library team, they will have a demonstrated ability to explain complex ideas to a variety of stakeholders and have an interest in developing programs collaboratively and fostering existing partnerships, such as with SAS’s Data Driven Discovery Initiative.

Requirements

A master’s degree in a relevant discipline and 3 to 5 years of experience, or an equivalent combination of education and experience.
Demonstrated development experience with AI and machine learning models;
Ability to communicate complex ideas in an understandable way to a broad variety of stakeholders.
Demonstrated programming skills in Python and familiarity with areas in AI/ML, such as Natural Language Processing, HPC, HCI, API, AI Model development, AI frameworks like TensorFlow, PyTorch, Kraken, etc. and AI/ML methods and infrastructure.
Proven ability to write clear, well-documented code and work with version control using GitHub.
Willingness and demonstrated ability to learn new skills and technologies beyond existing areas of knowledge, including new software applications and/or programming languages.
Experience successfully working in a collaborative team on interdisciplinary digital scholarship projects.
Excellent problem-solving and analytical capacities.

Nice To Haves

Demonstrated informal or formal teaching experience.
Project management experience.

Responsibilities

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.
n 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.

Benefits

Penn offers comprehensive medical, prescription, behavioral health, dental, vision, and life insurance benefits to protect you and your family’s health and welfare. You can also use flexible spending accounts to pay for eligible health care and dependent care expenses with pre-tax dollars.
Take advantage of Penn's exceptional tuition benefits. You, your spouse, and your dependent children can get tuition assistance here at Penn. Your dependent children are also eligible for tuition assistance at other institutions.
Penn offers generous retirement plans to help you save for your future. Penn’s Basic, Matching, and Supplemental retirement plans allow you to save for retirement on a pre-tax or Roth basis. Choose from a wide variety of investment options through TIAA and Vanguard.
Penn provides you with a substantial amount of time away from work during the course of the year. This allows you to relax, take vacations, attend to personal affairs, recover from illness or injury, spend time with family—whatever your personal needs may be.
In partnership with Genworth Financial, Penn offers faculty and staff (and your eligible family members) long-term care insurance to help you cover some of the costs of long-term care services received at home, in the community or in a nursing facility. If you apply when you’re newly hired, you won’t have to provide proof of good health or be subject to underwriting requirements. Eligible family members must always provide proof of good health and are subject to underwriting.
Penn is committed to supporting our faculty and staff as they balance the competing demands of work and personal life. That’s why we offer a wide variety of programs and resources to help you care for your health, your family, and your work-life balance.
Penn provides an array of resources to help you advance yourself personally and professionally.
As a member of the Penn community, you have access to a wide range of University resources as well as cultural and recreational activities. Take advantage of the University’s libraries and athletic facilities, or visit our arboretum and art galleries. There’s always something going on at Penn, whether it’s a new exhibit at the Penn Museum, the latest music or theater presentation at the Annenberg Center, or the Penn Relays at Franklin Field to name just a few examples. As a member of the Penn community, you’re right in the middle of the excitement—and you and your family can enjoy many of these activities for free.
From arts and entertainment to transportation and mortgages, you'll find great deals for University faculty and staff. Not only do Penn arts and cultural centers and museums offer free and discounted admission and memberships to faculty and staff. You can also enjoy substantial savings on other goods and services such as new cars from Ford and General Motors, cellular phone service plans, movie tickets, and admission to theme parks.
Flexible work options offer creative approaches for completing work while promoting balance between work and personal commitments. These approaches involve use of non-traditional work hours, locations, and/or job structures.
Penn offers a forgivable loan for eligible employees interested in buying a home or currently residing in West Philadelphia, which can be used for closing costs or home improvements.
Penn will reimburse eligible employees on qualified expenses in connection with the legal adoption of an eligible child, such as travel or court fees, for up to two adoptions in your household.