Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Зарплата и рынок
Очень мало
$100к-150к/год
$160к$190кмедиана$210к
По похожим ролям (49) ~ $190к/год
На СНГ рынке: $3.7к/мес ($2.9к - $4.3к)
56
Средняя вакансия
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В роли есть серьезные задачи по инфраструктуре данных для ИИ и понятная техническая специализация, но зарплата заметно ниже рыночного ориентира для похожих senior-позиций, что снижает привлекательность предложения.
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Ниже рынкаКонсалтингСовременный стекИнфраструктура ИИПонятные задачи
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
ML Data Engineer (AI): Build and operate large-scale data systems powering AI training and evaluation pipelines with an accent on ingestion, transformation, data quality, lineage, and high-throughput delivery across diverse modalities. Focus on operating petabyte-scale systems, ensuring dataset reproducibility, and optimizing data infrastructure for model quality and training efficiency.
Location: 100% remote within the United States
Salary: $100,000–$150,000 annually
Company
hirify.global delivers cloud, AI, data, and enterprise solutions through technology consulting and software development services.
What you will do
Build and operate large-scale data systems for AI training and evaluation pipelines.
Develop ingestion, transformation, quality assurance, lineage, and reproducibility workflows.
Deliver high-throughput data to training jobs across diverse modalities.
Operate petabyte-scale storage and pipeline systems.
Collaborate cross-functionally on data infrastructure, model quality, and training efficiency.
Requirements
Must be located in the United States for this remote role.
Six or more years of data engineering experience, including significant work supporting ML or AI workloads.
Bachelor’s or Master’s degree in Computer Science or a related field.
Strong proficiency in Python and at least one JVM or systems language.
Deep experience with Spark, Ray, or Beam; distributed systems; data modeling; and storage formats.
Experience with dataset versioning, lineage, reproducibility, high-throughput data loading, testing, CI/CD, and code review.
Nice to have
Experience with large-scale multimodal datasets and frontier model training pipelines.
Familiarity with data quality tooling and dataset evaluation methodologies.
Exposure to privacy-preserving data systems and regulated data handling.
Open-source contributions to data infrastructure projects.
Culture & Benefits
Full-time direct W2 employment.
Fully remote work within the United States.
Career growth opportunities within an established organization.
U.S. Citizens, Green Card Holders, EAD Holders, and H-1B transfer candidates are encouraged to apply.
New H-1B visa petitions cannot be sponsored for this position.
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