37 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "U.S" uni jobs at University of Washington
Sort by
Refine Your Search
-
hiring events, including identification and invitation to employers, marketing and communications, event management, student engagement, among others. Develop and deliver student learning materials, events
-
September 16, 2026 or January 1, 2027. This position will split its time between (1) supporting the AI and Machine Learning Education graduate programs , based in the College of Engineering, with a range of
-
their academic journey, and fosters a campus climate that enriches the experience for all. More information about the Office of Minority Affairs & Diversity is available at https://www.washington.edu/omad/. Within
-
conversations, embracing creativity, and recognizing that every challenge represents an opportunity to learn. We are a COMMUNITY who strive to create experiences for our stakeholders every single day. At our core
-
acoustics. • Experience in End-to-End AI/ML production systems from inception to deployment. • Experience in one or more areas such as machine learning, pattern recognition, data mining, and
-
: $19,166-$41,667 per month, commensurate with experience and qualifications, or as mandated by a U.S. Department of Labor prevailing wage determination. This range is inclusive of base salary provided
-
Engage in preparation and packaging of medications and other pharmacy-related functions Work in an area that promotes a place where healing, science, and learning come together, the opportunity to network
-
- $12,000 per month ($108,000 - $144,000 annually), commensurate with experience and qualifications, or as mandated by a U.S. Department of Labor prevailing wage determination. Salary will be pro-rated based
-
, robotics, biomechanics and biomedical engineering sciences, physics-based machine learning and artificial intelligence modeling and controls, energy storage and electrification, renewable energy and thermal
-
directed, taking the philosophy that learning must make sense to the student in order to be effective and meaningful. The child’s point of view is completely respected, and the student is encouraged