aipythonlinuxbashdata pipelinesbackend developmentaudio processinglarge scale data processing
Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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$30к-80к/год
$55к$72кмедиана$100к
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У роли понятные задачи, востребованное направление и сильный продуктовый контекст, но заявленная зарплата ниже рыночного ориентира, а диапазон слишком широкий.
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Ниже рынкаСовременный стекРазвитие ИИПонятные задачиАсинхронная работа
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Software Engineer, AI Data (Python): Building petabyte-scale audio data pipelines and large-scale data-processing systems for AI model training with an accent on data quality, throughput, cost optimization, and scalable infrastructure. Focus on discovering new audio sources, improving training datasets with AI Scientists, and owning engineering projects from problem discovery through continuous improvement.
Location: Remote; Italy-based role associated with Bologna, Italy
Salary: 30,000–80,000 USD per year plus bonus and stock, depending on experience
Company
hirify.global develops text-to-speech products that convert PDFs, books, documents, articles, websites, and other reading materials into audio for more than 50 million users.
What you will do
Discover new sources of audio data and build reliable pipelines to integrate 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 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 an asynchronous work culture.
Autonomy and a focus on innovation, intuition, creativity, and initiative.
Opportunity to work at the intersection of artificial intelligence and audio.
Competitive compensation with bonus and stock.
Work on a product designed to improve accessibility for people with learning differences, including dyslexia and ADD.
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