Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Это глубокая исследовательская работа над масштабным AI-поиском в хорошо финансируемой продуктовой компании, но высокий порог требований и работа только в офисе в Цюрихе ограничивают доступность вакансии.
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Высокая планкаАктуальный ML-стекПерспективная областьСильная поддержкаТолько офис
Оценка от Hirify AI
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Research Engineer (AI/ML): Building web-scale machine learning systems for document understanding, search quality, credibility assessment, and semantic deduplication with an accent on transformer modeling, large-scale datasets, and weak or undefined supervision. Focus on designing learnable labels, making classification and extraction accurate and cost-efficient across the web, and tracing poor search results back to page-level predictions.
Location: On-site in Zurich, Switzerland
Company
hirify.global is an applied AI lab building a large-scale search engine with web crawling infrastructure, embedding models, and high-performance vector databases.
What you will do
Improve parsing across web pages and demonstrate measurable quality improvements.
Build models that assess page quality, credibility, misinformation, source reliability, and reader-oriented content.
Determine whether documents are semantically identical or meaningfully different for web deduplication.
Develop classification and extraction systems that are accurate and cost-efficient at web scale.
Design supervision for problems without existing labels and evaluate whether they are learnable.
Trace poor search results to the page-level predictions that caused them and improve the underlying systems.
Requirements
Graduate-level machine learning experience through a Master’s or PhD with at least 2 years of relevant experience, or an exceptionally strong undergraduate background.
Ability to build a transformer from scratch in PyTorch.
Experience training models that are inexpensive enough to run broadly.
Interest in building large-scale datasets and working deeply with data, including supervision design.
Comfort working on problems where the ground truth does not yet exist and defining it is part of the role.
Strong interest in finding high-quality knowledge and understanding its importance.
Culture & Benefits
Projects are flexible based on individual skills and interests.
On-site work in Zurich.
hirify.global is an equal opportunity employer and considers qualified applicants without regard to legally protected characteristics.
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