ML Engineer II (Earth System Science) - HPC & Scalable ML

ucar; Boulder (CO); On-site; USD 113,000 - 142,000; Full time

Benefits offered by this job

Health insurance

Dental coverage

Retirement benefits

Job summary

UCAR seeks a Machine Learning Engineer II to design and develop advanced ML software for Earth System Science applications. You will train, deploy, and operate ML models using large-scale datasets and HPC resources.

Lead technical implementation and collaborate with scientists and engineers to translate scientific requirements into reliable computational solutions. This Regular, 2-Year Term position offers opportunities to contribute to community tools and workflows while maintaining robust

Qualifications

• Demonstrated proficiency applying machine-learning methods and frameworks to practical problems.
• Proficiency in developing reliable, maintainable software using testing, version control, documentation, and reproducibility practices.
• Ability to translate customer or scientific requirements into scoped technical work and communicate trade-offs.

Responsibilities

• Designing and implementing scalable machine learning software and systems to address complex Earth System Science problems.
• Train, evaluate, and deploy machine learning models and associated software components using modern programming languages, frameworks, and software engineering practices.
• Developing robust workflows and infrastructure for machine learning data preparation, model training, evaluation, inference, and deployment.
• Developing reusable software tools, libraries, APIs, and workflows that enable researchers and developers to incorporate machine learning into Earth System Science applications.
• Collaborating with scientists, software engineers, and domain experts to translate scientific requirements into well-designed, maintainable software solutions.
• Analyzing and optimizing the performance of machine learning applications, including computational efficiency, memory utilization, I/O, scalability, and GPU utilization.
• Develop and maintain technical documentation, examples, and developer- and user-facing resources for machine learning software and systems.
• Maintaining current knowledge of machine learning engineering practices, software frameworks, computing technologies, and approaches relevant to Earth System Science.

Skills

ML proficiency

Software engineering practices

Communication of trade-offs

Education

Bachelor of Science degree and 4 years related experience

Master's Degree

Equivalent combination of education and experience

Job description

UCAR seeks a Machine Learning Engineer II to design and develop advanced ML software for Earth System Science applications. You will train, deploy, and operate ML models using large-scale datasets and HPC resources.

Lead technical implementation and collaborate with scientists and engineers to translate scientific requirements into reliable computational solutions. This Regular, 2-Year Term position offers opportunities to contribute to community tools and workflows while maintaining robust