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11 дней назад

Software Engineer Intern (AI)

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

Текст:
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TL;DR
Software Engineer Intern (AI): Designing, developing, and deploying scalable inference solutions for AI models with an accent on Python, C++, CUDA, and high-performance model serving. Focus on optimizing inference at scale, monitoring live services, debugging production code, and building systems for LLMs and multimodal models.

Location: Remote within the EU

Company

hirify.global builds infrastructure for serving open AI models, including LLMs and multimodal models, at scale.

What you will do

  • Design, develop, and test inference solutions for leading AI models.
  • Implement and optimize AI models using Python, C++, CUDA, and NCCL.
  • Monitor and maintain live AI model-serving services.
  • Develop features, fix bugs, and participate in code reviews and design discussions.
  • Collaborate with engineers and cross-functional teams through agile development practices.
  • Build high-performance inference systems for LLMs and multimodal models.

Requirements

  • Currently pursuing a Bachelor's or Master's degree in Computer Science, Computer Engineering, or a related field.
  • Strong knowledge of data structures, algorithms, computer science fundamentals, and software design patterns.
  • Proficiency in Python and experience with AI/ML libraries and frameworks such as NumPy, pandas, SciPy, TensorFlow, or PyTorch.
  • Familiarity with AI models, Transformers, and Diffusers.
  • Experience with Git and agile development methodologies.
  • Strong problem-solving, debugging, communication, and teamwork skills.

Culture & Benefits

  • Work on cutting-edge AI model-serving systems with direct customer impact.
  • Learn from engineers building high-performance inference infrastructure at scale.
  • Work in a small team with ownership, autonomy, and end-to-end responsibility.
  • Contribute in a fast-paced environment shaped by initiative, drive, and grit.

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