Machine Learning Engineer II (Earth System Science)
Контакты
113 470 - 141 840$
Формат работы
hybrid
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
US
aipythonmachine learningsoftware engineeringcontinuous integrationhigh performance computinggpu computingearth system science
Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Зарплата и рынок
Очень мало
$113к-142к/год
$160к$180кмедиана$200к
По похожим ролям (48) ~ $180к/год
На СНГ рынке: $3.6к/мес ($2.8к - $4.7к)
62
Средняя вакансия
развернуть
Зарплата заметно ниже рыночного уровня, а контракт ограничен двумя годами, что снижает долгосрочную привлекательность. При этом обязанности ML-инженера четко описаны, а сильные льготы и работа с научными вычислениями добавляют вакансии ценности.
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Ниже рынкаСрок ограниченСовременный стекСильные льготыЧеткие задачи
Оценка от Hirify AI
Мэтч & Сопровод
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Описание вакансии
Текст:
Hirify AI/Оригинал
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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