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Machine Learning Engineer II at UCAR - ApplyBlast

Machine Learning Engineer II

UCAR

5 days ago

Boulder, Colorado, United States

Hybrid

Full Time

Medior

0 applicants

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About this role

This role involves independently designing and developing advanced machine learning software and systems for Earth System Science applications. The position requires developing robust, scalable software to train, evaluate, deploy, and operate machine learning models using large-scale datasets and high-performance computing resources. The engineer will lead technical implementations and collaborate with scientists and domain experts to translate scientific requirements into reliable computational solutions.

Responsibilities

Design and develop scalable machine learning software and systems for Earth System Science applications
Train, evaluate, and deploy machine learning models using large-scale datasets and high-performance computing resources
Collaborate with scientists and engineers to translate scientific requirements into reliable computational solutions

Skills

About UCAR

ucar.edu

Headquarters

Boulder, Colorado, United States

Company Size

501-1000 employees

Founded

1960

View Profile

The University Corporation for Atmospheric Research (UCAR) is a nonprofit consortium serving the Earth system science community, managing the U.S. National Science Foundation National Center for Atmospheric Research (NSF NCAR) on behalf of NSF. UCAR accelerates scientific discoveries and amplifies their impact through university collaboration, community programs, and partnerships. It offers education and training, data and software services, and opportunities for students and scientists at all career levels.