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3 дня назад

Software Engineer, AI Data - Nantes, France

30 000 - 100 000$
Формат работы
remote (только France)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
France
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
Software Engineer, AI Data (Python/Data Pipelines): Building reliable audio-data pipelines and large-scale processing systems for petabyte-scale AI training datasets with an accent on data quality, throughput, cost efficiency, and scalable infrastructure. Focus on discovering new data sources, improving training datasets with AI Scientists, and operating production systems in ambiguous environments.

Location: Remote, France-based role; Nantes, France

Salary: USD 30,000–100,000 per year, plus bonus and stock, depending on experience.

Company

hirify.global develops text-to-speech products that convert documents, books, websites, and other reading materials into audio for more than 50 million users.

What you will do

  • Discover new audio-data sources and build reliable pipelines to incorporate them into training datasets.
  • Build and improve large-scale data-processing systems, optimizing data quality, throughput, and cost.
  • Collaborate with AI Scientists to improve training datasets and support next-generation model development.
  • Own engineering projects from problem discovery through implementation and continuous improvement.

Requirements

  • Degree in Computer Science or a related field, or equivalent practical experience.
  • 5+ years of professional software engineering experience with strong backend development fundamentals.
  • Proficiency in Python and Bash in Linux environments.
  • Experience building and operating production systems, ideally involving data pipelines or large-scale data processing.
  • Strong problem-solving skills, initiative, and the ability to work independently in ambiguous environments.

Nice to have

  • Experience with web crawlers, data acquisition, or distributed data-processing systems.
  • Experience with cloud infrastructure and Infrastructure as Code, particularly GCP and Terraform.
  • Familiarity with ML training data, dataset quality, or audio processing.

Culture & Benefits

  • Work in a 100% distributed setting with no office and an asynchronous work culture.
  • Autonomy that supports focus and creativity.
  • An environment that values innovation, intuition, and drive.
  • Opportunity to work at the intersection of artificial intelligence and audio on a product designed to support people with learning differences.
  • Competitive compensation, bonus, stock, and a welcoming atmosphere.
  • Inclusive workplace committed to equal opportunity and non-discrimination.

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