Назад
Company hidden
3 дня назад

ML Data Engineer (AI)

100 000 - 150 000$
Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
Для мэтча и отклика нужен Plus

Мэтч & Сопровод

Для мэтча с этой вакансией нужен Plus

Описание вакансии

Текст:
/
TL;DR
ML Data Engineer (AI): Building and operating large-scale data systems for AI training and evaluation pipelines with an accent on data ingestion, transformation, quality assurance, lineage, and high-throughput delivery. Focus on petabyte-scale storage, distributed data processing, dataset reproducibility, and efficient data loading for accelerator-based training.

Location: 100% remote within the United States

Salary: $100,000–$150,000 annually

Company

hirify.global is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States.

What you will do

  • Build and operate large-scale data systems powering AI training and evaluation pipelines.
  • Develop ingestion and transformation workflows for diverse data modalities.
  • Ensure data quality, lineage, versioning, and reproducibility across ML workflows.
  • Deliver high-throughput datasets to accelerator-based training jobs.
  • Operate petabyte-scale storage and pipeline systems.
  • Collaborate cross-functionally while applying testing, CI/CD, and code review practices.

Requirements

  • Bachelor’s or Master’s degree in Computer Science or a related field.
  • 6+ years of data engineering experience, including significant work supporting ML or AI workloads.
  • Strong Python proficiency and experience with at least one JVM or systems language.
  • Deep experience with Spark, Ray, or Beam and hands-on experience with petabyte-scale data systems.
  • Strong understanding of distributed systems, data modeling, and storage formats.
  • Applicants must be U.S. Citizens, Green Card Holders, EAD Holders, or H-1B transfer candidates; new H-1B visa petitions cannot be sponsored.

Nice to have

  • Experience with large-scale multimodal datasets and frontier model training pipelines.
  • Familiarity with data quality tooling and dataset evaluation methodology.
  • Exposure to privacy-preserving data systems and regulated data handling.
  • Open-source contributions to data infrastructure projects.

Culture & Benefits

  • Full-time direct W2 employment.
  • Remote work within the United States.
  • Career growth opportunities within an established organization.

Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →