Job 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.
We are seeking a highly skilled Research AI Tooling Lead Software Engineer to join our team. The ideal candidate will have expertise in AI/ML technologies, software architecture, and experience working with open-source libraries. They will be responsible for leading the development of AI tooling and creating reusable patterns that can be combined to produce production-ready products used by other teams.
Demonstrated knowledge of modern AI/ML technologies, including NLP, vectorization, inference models, generative adversarial networks, etc.
Demonstrated ability to interconnect existing open source or commercial software libraries using standardized API-driven processes.
Experience delivering platform-quality tools or experiences to a user community, preferably composed of researchers and/or developers.
💡 Quick Summary
Seeking a career-building opportunity? The Research AI Tooling Lead Software Engineer position is now open for candidates interested in the Software Developer Jobs sector. This role in San Francisco offers a professional environment and growth potential.
Requirement Snapshot: Candidates should possess basic communication skills, a proactive attitude, and the ability to work in a team. Experience in Software Developer Jobs is a plus.
