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5 часов назад

Senior Member of Technical Staff, Machine Learning (AI)

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
UK
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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TL;DR
Senior Member of Technical Staff, Machine Learning (AI) (Python/PyTorch/JAX): Building core ML systems for a proactive, long-horizon AI assistant with an accent on production reliability, persistent context, and real-world task completion. Focus on designing training and inference pipelines, debugging non-deterministic model behavior, and optimizing latency, cost, safety, and scalability.

Location: United Kingdom; hybrid work in London

Company

hirify.global is building a proactive smart assistant for everyday users that brings AI to conversations, errands, organization, and workflows.

What you will do

  • Build core ML systems powering a proactive, long-horizon AI product.
  • Own ML work end to end, including data preparation, training, evaluation, inference, and iteration.
  • Turn research ideas into reliable production systems and debug model failures using real production signals.
  • Ship, measure, and refine ML capabilities while balancing latency, cost, reliability, and safety.
  • Collaborate with research, product, and engineering to deliver user impact.
  • Mentor and review the work of other ML engineers through technical judgment and example.

Requirements

  • Experience building and shipping ML systems used by real users.
  • Strong understanding of how modern ML models behave and fail in production.
  • Production-quality Python programming and systems-level thinking.
  • Experience with PyTorch or JAX and GPU-based training and inference systems.
  • Ability to take ownership, work independently, communicate clearly, and drive work through completion.
  • Ability to work in a hybrid setup in the United Kingdom.

Culture & Benefits

  • Work in a small, high-talent-density, hands-on team.
  • Make decisions collectively and move quickly while balancing quality with learning.
  • Apply judgment, create structure, and execute independently.
  • Participate in virtual and/or onsite interviews.
  • Receive a prompt hiring decision after the interview process.

Hiring process

  • Complete 3, and no more than 4, interviews if selected for further consideration.
  • Interviews are conducted via virtual meetings and/or onsite.
  • Applications are evaluated by technical team members.

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