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3 дня назад

Member Of Technical Staff, Machine Learning (AI)

Формат работы
remote (только Europe)
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
Poland/Spain/Ireland +3 еще
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Member of Technical Staff, Machine Learning (AI): Building core ML components for a proactive smart assistant to automate daily workflows with an accent on high reliability for long-running workflows and multi-step reasoning. Focus on fine-tuning models, implementing rigorous evaluation systems, and optimizing ML performance under production constraints like latency and cost.

Location: Remote (Ireland)

Company

hirify.global is developing a proactive AI-native smart assistant designed to bring intelligence to daily conversations and workflows for billions of users.

What you will do

  • Build and improve ML components across data, training, evaluation, and inference.
  • Fine-tune and adapt models as part of larger production systems.
  • Implement evaluation and testing to understand and refine model behavior.
  • Maintain data pipelines for real-world and synthetic data.
  • Debug model issues, performance bottlenecks, and production incidents.
  • Ship improvements iteratively based on real user feedback under latency, cost, and safety constraints.

Requirements

  • Location: Must be based in Ireland
  • Proficiency in Python, PyTorch, or JAX.
  • Experience with production ML systems running on GPUs.
  • Strong foundations in machine learning and modern neural architectures.
  • Hands-on experience training, fine-tuning, or deploying ML models.
  • Ability to write production-quality code and work through ambiguity.

Culture & Benefits

  • High talent density environment with a world-class, small team.
  • Collective decision-making process and rapid execution speed.
  • Culture of shipping high-quality work while maintaining a fast learning loop.
  • Opportunity to work on a product with potential global impact for billions of users.

Hiring process

  • Technical evaluation of applications by team members.
  • A series of 3 to 4 interviews conducted via virtual meetings or onsite.
  • Prompt decision-making process focusing on transparency and efficiency.

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