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3 часа назад

Lead Machine Learning Engineer

Формат работы
remote (только Europe)
Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
Poland/Romania/Croatia +1 еще
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Lead Machine Learning Engineer (ML systems): Leading the design, implementation, deployment, and maintenance of large-scale machine learning products serving millions of users, with an accent on scalable architectures, production ML pipelines, and high-performance distributed systems. Focus on designing state-of-the-art models and infrastructure, solving complex research problems, and scaling systems to billions of data points and millions of inferences per second.

Location: Remote from Poland, Romania, Austria, or Croatia

Company

hirify.global builds enterprise security products focused on AI/ML, including the hCaptcha security suite, serving hundreds of millions of people worldwide.

What you will do

  • Lead large-scale machine learning projects and products from initial design through implementation, deployment, and maintenance.
  • Make architectural decisions for scalable, efficient, and maintainable ML solutions.
  • Design and implement advanced machine learning pipelines and models serving millions of users.
  • Set technical standards and lead the development of scalable, testable, high-performance applications.
  • Collaborate across machine learning and engineering teams, drive technical decisions, and mentor ML engineers.

Requirements

  • 7+ years of experience building and maintaining large-scale production machine learning systems.
  • Expertise in machine learning algorithms, productionizing ML models, and scaling systems for large data volumes.
  • Experience owning or significantly contributing to products used by tens of thousands of customers.
  • Experience with Kubernetes, containerization, microservice design, and distributed systems.
  • Ability to lead technical discussions, set standards, communicate complex topics, and define innovative solutions to research problems.

Nice to have

  • Familiarity with coding agents and evals-first development workflows.

Culture & Benefits

  • Fully remote work with flexible working hours.
  • Distributed team with colleagues around the world.
  • Modern development and deployment workflows focused on shipping early and often.
  • Opportunity to work on high-impact cybersecurity, privacy, and machine learning systems.
  • Flat organization with direct interaction with customer teams.

Hiring process

  • Interviews include familiarity with coding agents and review of code for reliability and correctness.
  • Pre-employment screening includes third-party verification of work history, education, and identity.
  • Final in-person interview and identity verification are conducted in the candidate’s country of residence.

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