Назад
2 часа назад

Applied Research Scientist (AI, Computer Vision)

260 000 - 370 000$
Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
US
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

Applied Research Scientist (AI, Computer Vision): Develop cutting-edge computer vision and generative models for AI simulation and creative tools, with an accent on building human-in-the-loop systems and translating research into production-ready models. Focus on designing novel ML approaches and integrating them with user interfaces through cross-functional collaboration.

Location: Remote

Salary: $260K – $370K

Company

Runway builds AI to simulate the world by merging art and science.

What you will do

  • Develop computer vision and generative models to power creative tools.
  • Build and iterate on machine learning projects from initial conception to application.
  • Collaborate with backend engineering to bring research models to production.
  • Work with design and frontend engineering to ensure ML models integrate smoothly with user interfaces.
  • Contribute strong communication, collaboration, and documentation to a cross-functional research team.

Requirements

  • 4+ years of relevant engineering or research experience in machine learning, computer vision and/or graphics.
  • Strong programming skills in Python, C++, CUDA, and deep learning frameworks such as TensorFlow and PyTorch; ability to write clean, maintainable research code.
  • Deep interest in building human-in-the-loop systems for creativity.
  • Passion for seeing research through from conception to eventual application.
  • Experience mentoring and teaching other researchers.
  • Strong communication, collaboration, and documentation skills.

Culture & Benefits

  • Pay equity focus with salary ranges based on market rates for role, size, stage, and industry.
  • Salary range is expected for candidates in the U.S.; range may change outside the U.S.
  • Cross-functional, collaborative environment spanning research, backend, design, and frontend.
  • Inclusive hiring approach encouraging applications from diverse backgrounds.

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