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Staff Software Engineer (Applied AI)

Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Singapore
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Staff Software Engineer (Applied AI): Lead development and deployment of scalable software applications leveraging generative AI models, rapidly prototyping new features, and collaborating with researchers and product managers. Focus on translating cutting-edge AI research into real-world products, optimizing software performance, and leading architecture from 0 to 1.

Location: Singapore onsite

Company

hirify.global is a leading AI research and product company focused on advancing artificial intelligence technologies.

What you will do

  • Design and develop scalable software applications using generative AI models.
  • Rapidly prototype and iterate new features based on evaluation results.
  • Collaborate with researchers and product managers to translate research into product features.
  • Optimize software performance and ensure reliability of deployed applications.
  • Lead architecture and development of new products and features from concept to production.

Requirements

  • Location: Must be based in Singapore for onsite work
  • Bachelor's degree in computer science, electrical engineering, or equivalent experience.
  • 8+ years software development experience with programming languages such as Python.
  • 5+ years experience testing and launching software products; 3+ years in software design and architecture.
  • 5+ years leading ML design and optimizing ML infrastructure, with expertise in media generation or reinforcement learning.
  • Experience with generative AI models and applications preferred.

Nice to have

  • Contributions to open-source projects.
  • Front end development experience.
  • Experience in fast-paced, startup-like environments.
  • Experience with cloud platforms like Google Cloud, AWS, or Azure.
  • Familiarity with ML frameworks such as TensorFlow, PyTorch, Hugging Face.

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