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3 часа назад

Senior Machine Learning Engineer (AI)

Формат работы
remote (только United_kingdom)
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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Описание вакансии

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TL;DR

Senior Machine Learning Engineer (PyTorch/JAX): Building core ML systems powering a proactive AI chat app for long-running workflows, multi-step reasoning, and real-world task completion with an accent on high reliability, persistent context, and external tool integration. Focus on owning end-to-end ML lifecycle including data preparation, training, evaluation, inference, debugging production failures, and rapid iteration based on real signals.

Location: Remote (United Kingdom)

Company

hirify.global's A1 team is a small, high-talent-density group building a proactive AI chat app to bring intelligence to everyday conversations, errands, and workflows.

What you will do

  • Build core ML systems for proactive, long-horizon AI products handling multi-step reasoning and external interactions.
  • Own end-to-end ML work: data preparation, training, evaluation, inference, and iteration under production constraints.
  • Turn research ideas into reliable production systems and debug failures using real signals.
  • Iterate quickly by shipping, measuring outcomes, refining, and collaborating with research, product, and engineering teams.
  • Mentor other ML engineers through example and technical judgment.

Requirements

  • Built and shipped ML systems used by real users in production.
  • Deep understanding of modern ML model behavior and misbehavior in production environments.
  • Strong production-quality code with systems thinking, not just scripts.
  • Proven ownership, independent execution, fast learning, and clear communication.

Culture & Benefits

  • Work in small, world-class, high-talent-density teams making collective decisions at rapid speed.
  • Hands-on environment balancing high-quality shipping with continuous learning.
  • Emphasis on structure, judgment, and independent execution to deliver magical user products.

Hiring process

  • Applications evaluated by technical team; 3-4 interviews via virtual meetings and/or onsite.
  • Prompt decisions with offers extended to exceptional fits.

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