Research AI Tooling Lead Engineer
Company: University of California - San Francisco
Location: San Francisco
Posted on: January 25, 2025
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Job Description:
Research AI Tooling Lead Engineer
F_IT_CMS
Full Time
82449BR
Job Summary
Work as the lead software engineer of a small team to develop,
harden, and maintain artificial intelligence software tools and
patterns for basic science and health research at a world-class
research institution.
The incumbent will provide deep bioinformatics expertise and
software architecture capacity to lead the curation of an ecosystem
of open-source AI libraries and tools to be reviewed, hardened, and
containerized for researchers to use in UCSF's secure environments
in the Research Analysis Environment, the Facility for Advanced
Compute, and the new UCSF AI HPC environment.
The tools provided in this ecosystem will align where possible with
Jupyter code sample libraries the team will provide for researchers
to enable them to progress from learning and discovery into
production-quality deployment of tools.
Although the incumbent's duties will initially focus on GenAI/LLM
tooling, it will establish frameworks and strategies that would
also support many other AI/ML tools. Providing standardized tooling
now will significantly reduce friction for researchers to integrate
technologies for trustworthy AI in the future as the pathway for
that effort becomes clearer.
Examples of tooling to be developed into reusable patterns includes
(but are not limited to):
- Templates for transformers and inference models (encoder/decoders
such as BERT, Llama, etc)
- AI integration libraries (such as Langchain, LlamaIndex, AutoGPT,
etc)
- Vector databases and adapters (ie ChromaDB for local discovery,
Azure for cloud)
- Multi-agent and skills-based tools (ie Autogen)
- Language agent model and concept mapping strategies (ie AI tools
for Neo4j)
One of the key outcomes of this work will be a set of building
blocks which can be combined to produce production-ready products
used by other teams, including an LLM- and RAG-based co-pilot for
UCSF's research data assets and a chatbot testing platform with the
capacity for integration against sensitive research data.
The ideal candidate is passionate about open source software,
software architecture, and creating well-documented standards and
design patterns relied on by other data engineers. Additional
responsibilities of the position may include assisting clients via
complex AI solutioning requests and consults, implementation
troubleshooting, communicating with key stakeholders via one-on-one
training, documentation, requirements gathering, and other duties
as assigned. The final salary and offer components are subject to
additional approvals based on UC policy.Your placement within the
salary range is dependent on a number of factors including your
work experience and internal equity within this position
classification at UCSF. For positions that are represented by a
labor union, placement within the salary range will be guided by
the rules in the collective bargaining agreement.The salary range
for this position is $160,000 - $220,000 (Annual Rate).To learn
more about the benefits of working at UCSF, including total
compensation, please visit:
https://ucnet.universityofcalifornia.edu/compensation-and-benefits/index.html
Department Description
Academic Research Services (ARS) serves the needs of the UCSF
research community by providing an integrated repository of HIPAA
compliant clinical and life sciences data and a centralized,
secure, professionally managed infrastructure for the storage and
management of research data. ARS empowers medical scientific
investigations by offering secure computing environments, data
capture, management and analysis tools, and support services that
meet researcher's needs.
This position is part of a new research AI tooling team within the
ARS Research Tools group, which has a storied history of
successfully deploying technology to enable cutting-edge work by
researchers across many domains. Our team members have
opportunities to provide direct impact for real-world efforts
across the basic sciences, socio-behavioral studies, epidemiology,
and public and global health initiatives.
Our team is distributed across the United States, and strives to
protect a workplace with a strong focus on work/life balance. We
work hard to appreciate the diverse backgrounds and life
experiences of each of our team members. Our team culture includes
an understanding that there can be many pathways for all of our
journeys; in support of this we encourage applications from folks
with a rich and varied background, including those re-entering the
workforce.
Required Qualifications
Preferred Qualifications
License/Certification
About UCSF
The University of California, San Francisco (UCSF) is a leading
university dedicated to promoting health worldwide through advanced
biomedical research, graduate-level education in the life sciences
and health professions, and excellence in patient care. It is the
only campus in the 10-campus UC system dedicated exclusively to the
health sciences. We bring together the world's leading experts in
nearly every area of health. We are home to five Nobel laureates
who have advanced the understanding of cancer, neurodegenerative
diseases, aging and stem cells.
Pride Values
UCSF is a diverse community made of people with many skills and
talents. We seek candidates whose work experience or community
service has prepared them to contribute to our commitment to
professionalism, respect, integrity, diversity and excellence -
also known as our PRIDE values.
In addition to our PRIDE values, UCSF is committed to equity - both
in how we deliver care as well as our workforce. We are committed
to building a broadly diverse community, nurturing a culture that
is welcoming and supportive, and engaging diverse ideas for the
provision of culturally competent education, discovery, and patient
care. Additional information about UCSF is available at
diversity.ucsf.edu
Join us to find a rewarding career contributing to improving
healthcare worldwide.
Equal Employment Opportunity
The University of California San Francisco is an Equal
Opportunity/Affirmative Action Employer. All qualified applicants
will receive consideration for employment without regard to race,
color, religion, sex, sexual orientation, gender identity, national
origin, age, protected veteran or disabled status, or genetic
information.
Organization
Campus
Job Code and Payroll Title
005933 BIOINFORMATICS PROGR 4
Job Category
Clinical Systems / IT Professionals
Bargaining Unit
99 - Policy-Covered (No Bargaining Unit)
Employee Class
Career
Percentage
100%
Location
San Francisco, CA
Campus
Mission Center Building (SF)
Work Style
Fully Remote
Shift
Days
Shift Length
8 Hours
Additional Shift Details
M-F regular business hours
Keywords: University of California - San Francisco, Rancho Cordova , Research AI Tooling Lead Engineer, Engineering , San Francisco, California
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