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6 дней назад

Open-Source ML Leader (AI)

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

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TL;DR

Open-Source ML Leader (AI): Turning foundational research into high-quality public tooling and growing a developer community with an accent on open-source strategy and ecosystem collaboration. Focus on converting proprietary implementations into polished open-source code and championing open science.

Location: Remote (US)

Company

hirify.global builds proprietary generative media models and AI-native creative workflows to make world-class design accessible to everyone.

What you will do

  • Define and execute the vision for releasing open model weights, methodologies, and code.
  • Oversee GitHub and Huggingface repositories to maintain a healthy developer community.
  • Champion open science by building open-source demos, writing technical blogs, and presenting at conferences.
  • Partner with model providers, internal engineers, and external contributors to advance AI accessibility.
  • Convert internal, proprietary implementations into polished, reproducible, and easy-to-use open-source code.

Requirements

  • Must be based in the US
  • Advanced degree or equivalent research experience in Machine Learning or Deep Learning.
  • Strong hands-on experience in Python and ML research libraries such as PyTorch, JAX, or TensorFlow.
  • Familiarity with LLMs and modern architectures including Transformers, diffusion models, and RLHF.
  • Proven experience publishing research or working on open-source projects in ML, computer vision, or NLP.
  • Excellent communication skills for active engagement with the developer community.

Culture & Benefits

  • Competitive compensation and equity.
  • Comprehensive health, vision, and dental coverage starting on day one.
  • 401(k) with employer match up to 4%.
  • 4 weeks of vacation.
  • Top-of-the-line tools and technology.
  • Autonomy to explore and experiment with access to necessary compute resources.

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