layiq
/la·yiq/adjective
worthy; deserving; fitting; suitable.
A role, opportunity, or path that merits attention, time, and pursuit.
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Job opportunity
ML Engineer – Healthcare Foundation Model Developer
Stanford University
Stanford, CA, United States
Source: Stanford University careers · View original posting
Employer job description
From Stanford University's posting. “We” and “our” refer to the employer.
Plan, develop and carry out complex technical projects in support of the scientific and engineering staff. These positions are professional lead technical jobs requiring a variety of design, coordinative and/or supervisory skills and experience in science and engineering.
Stanford University is seeking a Machine Learning Engineer to support advanced technical research within the Weill Cancer Hub. This role will focus on developing and applying AI and machine learning methods for biomedical and clinical applications, with an emphasis on rigorous evaluation in real-world settings. The goal is to better understand the performance, safety, reliability, transparency, and clinical utility of ML/AI models intended for translational impact and eventual deployment.
Reporting to the program’s technical leadership, and working closely with senior faculty and research staff, the individual will build end-to-end data pipelines and software infrastructure for machine learning research across the Hub. They will develop robust, modular systems for training, evaluation, and inference that can support a range of downstream applications, and will help guide technical decisions around the languages, tools, platforms, and engineering practices used across data and software projects.