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12 дней назад

Machine Learning Engineer II (Earth System Science)

113 470 - 141 840$
Формат работы
hybrid
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Machine Learning Engineer II (Earth System Science): Designing and developing scalable machine learning software and systems for Earth System Science applications with an accent on large-scale datasets, high-performance computing, and reliable model operations. Focus on building training, evaluation, inference, and deployment workflows, optimizing GPU and computational performance, and translating scientific requirements into maintainable software.

Location: Boulder, Colorado, United States; hybrid work with on-site attendance approximately 3 days per week

Salary: $113,470–$141,840 per year

Company

hirify.global is a university corporation focused on atmospheric and Earth system science research.

What you will do

  • Design and implement scalable machine learning software and systems for complex Earth System Science problems.
  • Train, evaluate, deploy, and operate machine learning models using large-scale scientific datasets and high-performance computing resources.
  • Build reusable data preparation, training, evaluation, inference, and deployment workflows, tools, libraries, APIs, and infrastructure.
  • Collaborate with scientists, software engineers, and domain experts to translate scientific requirements into maintainable solutions.
  • Optimize computational efficiency, memory utilization, I/O, scalability, and GPU utilization.
  • Maintain technical documentation, examples, and developer- and user-facing resources.

Requirements

  • Bachelor of Science degree with 4 years of related experience, a master’s degree, or an equivalent combination of education and experience.
  • Proficiency applying machine learning methods and frameworks to model training, technical evaluation, and inference.
  • Experience developing reliable, maintainable software using testing, version control, code review, documentation, and reproducibility practices.
  • Ability to analyze moderately complex AI/ML models, data, software, and computing problems independently.
  • Ability to translate scientific or customer requirements into scoped technical work and communicate trade-offs.
  • Work location must comply with U.S. work location requirements; visa sponsorship is not available.

Nice to have

  • Experience with large-scale datasets and high-performance computing environments.
  • Experience developing automated machine learning workflows and reliable scientific software.
  • Experience leading small technical teams through the software development lifecycle.
  • Experience with continuous integration, testing, version control, documentation, and reproducibility.

Culture & Benefits

  • Regular 2-year term position with full-time employment.
  • Medical, dental, vision, disability, retirement, and employee assistance benefits.
  • hirify.global contributes 10% of base salary to the retirement plan.
  • At least 20 days of annual PTO, 10 paid holidays, and 12 weeks of paid parental leave.
  • Tuition assistance and eligibility for Public Service Loan Forgiveness.

Hiring process

  • Submit a questionnaire and resume/CV.
  • Background checks and/or federal screenings are conducted for selected candidates.

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