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Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Здесь предстоит заниматься машинным обучением для реального продукта в сфере кибербезопасности, но без зарплатной вилки и с ограничением по удалённой работе только из Тайваня условия и доступность вакансии оценить сложнее.
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Только ТайваньЗарплата не указанаСовременный стекИИ в кибербезопасностиРабота над продуктом
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Текст:
Hirify AI/Оригинал
TL;DR
Machine Learning Engineer / Researcher (Cybersecurity): Researching and developing data schemas, normalization methods, machine learning algorithms, and threat detections for an Open XDR security platform with an accent on security data integration, detection, correlation, and investigation. Focus on translating security use cases into machine learning problems, building production-ready Python solutions, and measuring detection efficacy.
Location: Remote in Taiwan
Company
hirify.global provides an Open XDR cybersecurity platform that uses AI and automation to protect enterprises, government agencies, and managed security service providers from sophisticated cyber threats.
What you will do
Review and design data schemas and normalization approaches for integrating third-party security data.
Translate security detection use cases and requirements into data science and machine learning problems.
Research and design machine learning algorithms for security detection, correlation, and investigation.
Design and implement product features for detection, correlation, and investigation workflows.
Create processes, tools, and metrics to monitor and evaluate the effectiveness of released detections.
Requirements
Master’s or Ph.D. degree in Computer Science or a related field, with a focus on machine learning, deep learning, natural language processing, or artificial intelligence.
Professional experience as a Machine Learning Engineer, Research Scientist, or in a similar role.
Experience with time series analysis, graph machine learning, natural language processing, or related machine learning areas.
Experience with tools and frameworks for building machine learning applications, including strong knowledge of machine learning algorithms, statistical models, and deep neural networks.
Strong Python engineering skills, including rapid proof-of-concept development and implementation of production-ready solutions.
Strong problem-solving and communication skills, with the ability to explain complex ideas to technical and non-technical stakeholders.
Nice to have
Knowledge or experience in cybersecurity, including detection and response or threat hunting.
Experience with security products and security data.
Knowledge of open-source data models such as Elastic Common Schema and Open Cybersecurity Schema Framework.
Culture & Benefits
Remote work arrangement in Taiwan.
Work in a fast-growing global cybersecurity company.
Collaborative, diverse, and open culture focused on creativity and innovation.
Opportunities to contribute to AI- and automation-driven security products.
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