Manager of AI Modeling & Inference

Stanford Libraries is seeking a full-time Manager of AI Modeling & Inference to join Research Data Services. The Libraries values are rooted in a commitment of mutual respect, the idea that every member of the staff has something to contribute, and that learning is constant.

We seek a team member who is ready to share their skills and perspectives.

Scroll down to find the complete details of the job offer, including experience required and associated duties and tasks.

About Stanford Libraries :

Stanford Libraries is a network of over 15 libraries with over 400 employees. We are committed to fueling the teaching, learning, and research across Stanford by acquiring, stewarding, and making available a robust collection, currently in excess of 12 million items.

Everyone in the organization plays a vital role in fulfilling that objective. Our dedication to discoverability and information management also has us engaged in dynamic global partnerships.

We are constantly building and strengthening our organization, and we recognize striving for excellence is a marathon and not a sprint.

We are constantly trying to strike the right pace, and admit there are times when we find ourselves at a fast jog. While we hope to always find candidates who fit within our organization, what we truly seek is someone who will add to our culture, our profession as well as the greater academic arena.

We are invested in the success of our teams and the individuals who represent Stanford Libraries.

About the Position :

Stanford University Libraries’ Research Data Services is seeking an experienced, technically-adept, forward-thinking library professional to both lead and directly contribute programming efforts to our new AI Modeling & Inference group.

This role manages two Digital Scholarship Research Developers, leading a group with significant accomplishments in digital humanities projects.

We are looking for an individual who can both design and implement research software, as well as manage a team of experienced colleagues.

Vision

We seek a professional who can foresee the impact of AI on academic research practices and develop software and services to maximize the positivity of these effects.

At the same time, this role must remain clear-eyed about limitations and problems of AI, and offer responsible guidance to colleagues and patrons alike.

Balancing these two perspectives will be key to the leadership role we expect the Manager to play.

Core Duties* :

• Monitor technology trends and evaluate emerging technologies to recommend for adoption and implementation.
• Manage the development and rollout of Stanford University Libraries AI services and software for researchers.
• Propose, conceptualize, design, implement, and develop solutions for difficult and complex research software applications independently.
• Oversee testing, debugging, change control, and documentation for major research software applications.
• Supervise professional staff, as necessary, working on all phases of research software application development projects.
• Engage in long-term strategic planning.
• Define complex application development administration and programming standards.
• Oversee the support, maintenance, operation, and upgrades of applications.
• Troubleshoot and resolve complex technical problems.
• Review the physical design of existing systems for optimizing performance.
• Lead projects, as necessary, for special systems and application development in areas of complex problems.
• Work with other technical professionals to develop standards and implement best practices.

Other duties may also be assigned

MINIMUM REQUIREMENTS

Education and Experience :

Bachelor's degree and eight years of relevant experience, or a combination of education and relevant experience.

Minimum Knowledge, Skills, and Abilities :

• Ability to quickly learn and adapt to new technologies and programming tools.
• Demonstrated experience in designing, developing, testing, and deploying applications.
• Strong understanding of data design, architecture, relational databases, and data modeling.
• Thorough understanding of all aspects of software development life cycle and quality control practices.
• Ability to define and solve logical problems for highly technical applications.
• Strong communication skills with both technical and non-technical clients.
• Demonstrated experience leading activities on structured team development projects.
• Ability to select, adapt, and effectively use a variety of programming methods.
• Ability to recognize and recommend needed changes in user and / or operations procedures.

Other Relevant Knowledge, Skills, and Abilities May Include :

Experience with AI & ML software libraries, platforms and environments, including PyTorch, Tensorflow, and CUDA.

Familiarity with common digital cultural heritage platforms and APIs, including IIIF (International Image Interoperability Framework).

Knowledge of common neural network architectures and approaches, including Transformers-based approaches in textual, visual, and multi-modal contexts.

Certifications and Licenses :

None

Physical Requirements :

• Constantly perform desk-based computer tasks.
• Frequently sit, grasp lightly / fine manipulation.
• Occasionally stand / walk, writing by hand.
• Rarely use a telephone, lift / carry / push / pull objects that weigh up to 10 pounds.

Consistent with its obligations under the law, the University will provide reasonable accommodation to any employee with a disability who requires accommodation to perform the essential functions of his or her job.

Working Conditions :

May work extended hours, evening and weekends.

Stanford is an equal employment opportunity and affirmative action employer.

The expected pay range for this position is $137,000.00 to $180,000.00 per annum.

Why Stanford is for You :

Imagine a world without search engines or social platforms. Consider lives saved through first-ever organ transplants and research to cure illnesses.

Stanford University has revolutionized the way we live and enrich the world. Supporting this mission is our diverse and dedicated 17,000 staff.

We seek talent driven to impact the future of our legacy.

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