aipythonlinuxbashdata pipelinesaudio processinglarge scale data processing
Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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$30к-120к/год
$55к$65кмедиана$75к
По похожим ролям (50) ~ $65к/год
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У роли понятный фокус на senior data engineering в активно развивающейся сфере ИИ, а зарплата соответствует рыночному уровню. Но широкий диапазон оставляет неопределённость по фактическому предложению.
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Разброс зарплатыСовременный стекИИ и аудиоПонятные задачиАсинхронная работа
Оценка от Hirify AI
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Software Engineer, AI Data (AI): Building petabyte-scale audio data pipelines and large-scale data-processing systems for AI model training with an accent on data quality, throughput, cost efficiency, and scalable infrastructure. Focus on discovering new audio sources, improving training datasets, and solving complex engineering problems in collaboration with AI Scientists.
Location: Remote; role identified as Galway, Ireland
Salary: 30,000–120,000 USD per year, plus bonus and stock, depending on experience
Company
hirify.global develops text-to-speech products that convert written content into audio across mobile, desktop, browser, and web applications, serving more than 50 million users.
What you will do
Discover new audio data sources and build reliable pipelines for 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
Work in a 100% distributed setting with no office and an asynchronous work culture.
Autonomy and an environment focused on innovation, initiative, focus, and creativity.
Opportunity to work at the intersection of artificial intelligence and audio.
Competitive compensation with bonus and stock, plus a welcoming and inclusive workplace.
Work on products intended to improve accessibility for people with learning differences.
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