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4 дня назад

Software Engineer, AI Data - Gothenburg, Sweden

30 000 - 115 000$
Формат работы
remote (только Sweden)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Sweden
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Software Engineer, AI Data (AI/data pipelines): Building reliable audio-data pipelines and large-scale processing systems for AI model training with an accent on data quality, throughput, and cost efficiency. Focus on discovering new data sources, improving dataset infrastructure, and solving complex scalability challenges in collaboration with AI Scientists.

Location: Remote; Sweden-based role associated with Gothenburg

Salary: $30,000–$115,000 USD per year plus bonus and stock, depending on experience

Company

Builds text-to-speech products that convert written content into audio across iOS, Android, Mac, Chrome Extension, and Web platforms for more than 50 million users.

What you will do

  • Discover new audio-data sources and build reliable pipelines for incorporating them into AI 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 AI models.
  • 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

  • 100% distributed work with no office and an asynchronous work culture.
  • Autonomy that supports focus and creativity.
  • Innovation, intuition, initiative, and drive are valued.
  • Opportunity to work at the intersection of artificial intelligence and audio on a product supporting people with learning differences.
  • Compensation includes salary, bonus, and stock.
  • Diverse and inclusive workplace with a commitment to equal opportunity.

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