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7 дней назад

Member Of Technical Staff AI (Reinforcement Systems)

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 AI (Reinforcement Systems): Build advanced reinforcement learning systems and core infrastructure for large-scale AI at hirify.global with an accent on distributed systems, parallel programming, and API design. Focus on designing scalable systems, collaborating with research teams, and advancing reinforcement learning algorithms in LLMs.

Location: London, United Kingdom, onsite with hybrid work expectations

Company

hirify.global is focused on building trustworthy autonomous AI agents and advancing state-of-the-art AI technologies.

What you will do

  • Collaborate with research teams to advance reinforcement learning algorithms for large language models.
  • Develop core systems for scaling reinforcement learning to heterogeneous environments.
  • Build and maintain large-scale distributed AI software systems and infrastructure.
  • Design APIs and software components with high craftsmanship and attention to detail.
  • Work in a fast-paced, collaborative environment managing multiple priorities.

Requirements

  • Location: Must work onsite in London, United Kingdom with hybrid work expectations.
  • Bachelor’s degree in Computer Science, Software Engineering, Machine Learning, Mathematics, or related STEM field.
  • Experience in programming languages such as C, C++, C#, Rust, Java, or Python.
  • Experience with large-scale software systems and infrastructure.
  • Interest or experience in reinforcement learning, language modeling, or generative modeling.
  • Ability to work collaboratively in a fast-paced innovative environment.

Nice to have

  • Background in machine learning research.
  • Experience with large-scale distributed AI systems.

Culture & Benefits

  • Culture of collaboration, innovation, and excellence.
  • Growth mindset and focus on empowering others.
  • Values of respect, integrity, and accountability.
  • Hybrid work model with onsite presence expected four days a week if living near office.

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