DutiesAssistance with course administration (labs, grading assignments, tests, exams), and other duties as assigned. Duties may include class attendance and 1 hour office hour after each major assignment given in class, typically 3 assignments x 1 hour each.
Minimum Qualifications Current doctoral student, with teaching experience preferred. Preferred Qualifications Demonstrated expertise in topic area of the course;
prior teaching experienceRelevant CriterionPrevious experience is the more relevant criterion than the need to acquire experience in respect of this posted position.
Open Rank Faculty Position in Computer Science: Artificial Intelligence and Machine Learning
This faculty search targets applicants with research expertise in all aspects of artificial intelligence and machine learning, broadly interpreted. A completed application consists of (1) a cover letter, (2) a curriculum vitae, (3) statements on research, teaching, and inclusive excellence activitie...
Postdoctoral Scholar in Machine Learning in Medicine
The shared values of the DGSOM are expressed in the Cultural North Star, which was developed by members of our community and affirms our unswerving commitment to doing what's right, making things better, and being kind. Communicate effectively with team members, present findings and progress both ve...
Machine Learning with Applications in Python
DutiesAssistance with course administration (labs, grading assignments, tests, exams), and other duties as assigned. Minimum Qualifications Current doctoral student, with teaching experience preferred. Preferred Qualifications Demonstrated expertise in topic area of the course; prior teaching experi...
Research Scientist in Multimodal Graduate (Applied Machine Learning) - 2024 Start (PhD)
Candidates with research or technical backgrounds in NLP, CV, video understanding, large pretrained models, or participating in large-scale online machine learning platforms are preferred- Candidates with pre-training foundation technologies, including efficient training and pretraining as a service...
Machine Learning Engineer with 3D Data Processing
As a Machine Learning Engineer specializing in 3D Data Processing, you will be responsible for developing and implementing machine learning models that analyze and interpret complex 3D datasets. As a Machine Learning Engineer specializing in 3D Data Processing, you will be responsible for developing...
Software Engineer in ML Systems Graduate (AML - Machine Learning Systems) - 2024 Start (BS/MS)
Responsibilities- Research and develop our machine learning systems, including heterogeneous computing architecture, management, and monitoring- Deploy machine learning systems, distributed task scheduling, machine learning training- Manage cross-layer optimization of system and AI algorithms and ha...
Postdoctoral Researcher in Machine Learning for Multidimensional Spectroscopy of Molecular Dynamics
This is a full-time 2-year, postdoctoral appointment with the possibility of renewal based upon satisfactory job performance, continuing availability of funds and ongoing operational needs. Lawrence Berkeley National Lab’s () Chemical Sciences Division has an opening for a Scientific Machine Learnin...
Assistant Professor of Economics with a focus on Applied Machine Learning
We are looking for candidates proficient in modern Machine Learning tools working in any of the Applied Micro fields, including health, education, labor, urban, public, environmental economics, industrial organization, and trade. The primary responsibilities of this position will include developing ...
Open Rank Faculty Position in Computer Science: Artificial Intelligence and Machine Learning
This faculty search targets applicants with research expertise in all aspects of artificial intelligence and machine learning, broadly interpreted. A completed application consists of a cover letter, a curriculum vitae, statements on research, teaching, and inclusive excellence activities contact in...
Optimization in Machine Learning
MIE424-2022/ Minimum Qualifications Proficiency in the theoretical mathematical foundations of convex and non-convex optimization for machine learning (including both classical linear predictive models as well as modern deep neural networks) as well as Python coding of all these methods is required....