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7 дней назад

Member of Technical Staff (Machine Learning)

Формат работы
onsite
Тип работы
fulltime
Грейд
middle
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
Member of Technical Staff (Machine Learning) (AI/mental health): Building and shipping models, training infrastructure, harnesses, and evaluation systems for a specialized mental-health model with an accent on post-training, feedback loops, and production learning. Focus on designing end-to-end ML systems, improving model quality through fine-tuning and evals, and operating infrastructure on leased GPUs.

Location: London, United Kingdom; the role involves working in person with a small team and travel between the London and New York offices.

Company

hirify.global develops Ash, an AI product designed for mental health, with a mission to make support more accessible.

What you will do

  • Ship machine-learning models, training infrastructure, harnesses, and evaluation systems end to end.
  • Design, build, and launch technology that differentiates Ash as a specialized mental-health model.
  • Improve a model-agnostic post-training engine running on a leased-GPU cluster managed by SkyPilot.
  • Develop auto-research loops, mental-health-focused evaluation indexes, and feedback loops based on production performance, psych research, and scalable data sources.
  • Own systems and deliver high-quality products that create value for users.

Requirements

  • 3+ years of engineering experience owning systems that other people rely on.
  • Experience working with LLMs, ideally including fine-tuning, harness engineering, and evals.
  • Proficiency in using agents to support research and implementation.
  • Ability to take ownership, work collaboratively and directly, and maintain a high standard of quality.
  • Experience in a fast-paced startup, or the drive to thrive in one.
  • Willingness to work in person with a small team and learn unfamiliar tools as required.

Nice to have

  • Specific expertise across the listed application, backend, infrastructure, cloud, or media-streaming technologies is not required; a learning mindset is valued.

Culture & Benefits

  • Autonomy, flexibility, and support within a small, highly skilled team.
  • Competitive compensation at the top of the personal market and meaningful equity.
  • Travel between the London and New York offices.
  • Free lunch and coffee in the office, plus a generous learning budget.
  • Personal therapy covered.

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