Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Чёткая роль в прикладных исследованиях в крупной travel-tech компании сочетает содержательные задачи по компьютерному зрению, работу на всём цикле и возможности обучения; главный нюанс - совмещение исследований, внедрения и поддержки SDK.
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Разноплановые задачиСовременный стекПолный цикл исследованийОбучение на практикеTravel-tech продукт
Оценка от Hirify AI
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Research Engineer (Computer Vision/Machine Learning): Building production-ready computer vision and machine learning technologies for biometric solutions such as face recognition, image quality assessment, anti-spoofing, and digital identity with an accent on the full research lifecycle from data acquisition and annotation to deep learning model delivery. Focus on designing biometric capture pipelines, solving deployment and SDK support challenges, and exploring research directions that lead to patents and publications.
hirify.global is a global travel technology company developing computer vision and digital identity solutions for products such as Seamless Travel.
What you will do
Contribute to the applied-research roadmap for face recognition, image quality, anti-spoofing, and biometric capture pipelines.
Manage the research lifecycle, including data acquisition, annotation, deep learning model training, experimentation, and delivery of research outcomes.
Work across machines, ecosystems, tools, and infrastructure to advance research beyond software development alone.
Resolve complex technical issues, deployment challenges, and escalated SDK support requests.
Promote security, governance, quality, and software lifecycle management best practices.
Explore novel research directions, contribute to patents and publications, and share knowledge with the team.
Requirements
2–3 years of computer vision experience gained in industry or a public research institution.
Strong Python and machine learning skills, including hands-on experience training deep learning models for image-based tasks.
Adaptability across different technologies and tools, with comfort working in ambiguous situations.
Independent, resilient, and creative problem-solving approach with strong communication skills.
Nice to have
Software engineering and C# experience.
Biometrics experience; internal training is provided.
Culture & Benefits
Hybrid working model with a largely remote research team across Lisbon and Porto/Gaia.
Learning through on-the-job training, formal learning activities, and collaboration with colleagues.
Competitive remuneration package and a supportive environment focused on personal and family life.
Diverse and inclusive community committed to fair treatment, accessibility, and equal opportunity.
Global travel technology environment with a mission focused on the future of travel.
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