227 machine-learning positions at University of Texas at Austin in US

Research Associate for Artificial Intelligence and Machine Learning

Job Posting Title: Research Associate for Artificial Intelligence and Machine Learning ---- Hiring Department: Texas Advanced Computing Center ---- Position Open To: All Applicants ---- Weekly

Clinical Research Fellowship in Artificial Intelligence & Machine Learning in Congenital Cardiac Care

Job Posting Title: Clinical Research Fellowship in Artificial Intelligence & Machine Learning in Congenital Cardiac Care ---- Hiring Department: Department of Pediatrics ---- Position Open To: All

Postdoctoral Fellow

Computer Science, AI, Networking, or a related discipline within the last 3 years Solid experience with AI/machine learning methodologies, particularly those applicable to network optimization. Proven ability in

IT Network/Security Specialist

scalability in challenging environments. Our project is dedicated to crafting advanced machine-learning algorithms specifically designed for network optimization and security challenges. Through rigorous real

Parking Enforcement Officer II

and childcare expenses Robust free training access through LinkedIn Learning plus professional conference opportunities Expansive employee discount program including athletic tickets Free access to UT

Building Attendant II

Human Resources (HR) website at https://hr.utexas.edu/    to learn more about the total benefits offered when you join our team! Purpose To perform the work of custodial maintenance while working as a

Systems Engineer, Diver Applications (ES)

of Diver Systems in the Advanced Technology Laboratory (ATL). Responsibilities Conduct and document analyses of alternatives in support of military applications and acquisitions Plan, execute, and report the

Signal and Information Processing and Modeling Engineering Scientist Associate

, localization, tracking and classification algorithms and applications; applied mathematics, machine learning, uncertainty modeling and/or statistics; developing in a Linux environment; high-performance, GPU

Postdoctoral Fellow

differentiable programming and physics informed machine learning (Graph Neural Networks and Neural Operators) for solving inverse and optimization problems. Develop AI-accelerated numerical methods for identifying

Software Engineer

to the production of detailed technical reports and presentations that showcase project progress and breakthroughs. Required Qualifications A strong foundation in AI/machine learning and software development