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Senior Member of Technical Staff, Machine Learning (AI)

Формат работы
remote (только Ireland)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Ireland
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Senior Member of Technical Staff, Machine Learning (AI) (Python/PyTorch/JAX): Building and operating production ML systems for a proactive, long-horizon AI product with an accent on training, inference, reliability, and real-world task completion. Focus on debugging model failures, optimizing latency and cost, and developing robust data and ML pipelines at scale.

Location: Remote from Ireland

Company

hirify.global is building proactive AI applications that help users manage conversations, errands, organisation, and workflows with minimal prompting.

What you will do

  • Build core machine learning systems for a proactive, long-horizon AI product.
  • Own ML development end to end, including data preparation, training, evaluation, inference, and iteration.
  • Turn research ideas into reliable production systems and debug failures using real production signals.
  • Iterate on shipped systems by measuring outcomes, refining solutions, and improving user impact.
  • Collaborate with research, product, and engineering teams to integrate ML features into products.
  • Mentor and review the work of other ML engineers through technical guidance and example.

Requirements

  • Experience building and shipping ML systems used by real users.
  • Strong production-quality Python programming and systems-thinking skills.
  • Experience with PyTorch or JAX.
  • Experience with GPU-based training and inference systems.
  • Ability to work independently, take ownership, communicate clearly, and deliver ambiguous projects.
  • Must be based in Ireland for this remote role.

Culture & Benefits

  • Work with a small, high-talent-density, hands-on team.
  • Make decisions collectively while moving quickly and balancing quality with learning.
  • Work on systems operating under production constraints such as latency, cost, reliability, and safety.
  • Virtual meetings and/or onsite interviews are used during the hiring process.
  • Expect a prompt hiring decision after three, and no more than four, interviews.

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