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3 дня назад

Machine Learning Researcher (AI)

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Germany
Вакансия из списка Hirify.GlobalВакансия из Hirify RU Global, списка компаний с восточно-европейскими корнями
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Описание вакансии

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TL;DR

Machine Learning Researcher (AI): Developing breakthrough innovations in machine learning, computer vision, and neural rendering with an accent on image and video synthesis and 3D reconstruction. Focus on building state-of-the-art prototypes and contributing to cutting-edge technologies across the hirify.global ecosystem.

Location: Must be based in Munich, Germany (Hybrid role).

Company

A global technology leader creating innovative products and services that integrate hardware, software, and services.

What you will do

  • Conduct research in machine learning, computer vision, and computer graphics.
  • Develop and implement state-of-the-art algorithms for image/video synthesis and 3D reconstruction.
  • Build complete prototypes that achieve top-tier performance.
  • Collaborate with a world-class team of researchers and engineers.
  • Contribute to high-impact scientific publications and conferences.
  • Integrate research findings into hirify.global's ecosystem technologies.

Requirements

  • Location: Must be based in Munich, Germany.
  • Proven publication record in top-tier conferences like CVPR, ICCV, NeurIPS, or SIGGRAPH.
  • Significant experience building complete prototypes with state-of-the-art performance.
  • Fluency in Python and strong software engineering skills in complex systems.
  • Expertise in deep learning modeling frameworks such as PyTorch or Jax.
  • Ability to work across the entire ML stack from low-level systems to high-level algorithms.

Nice to have

  • PhD, Masters, or Bachelors degree in Computer Science or Electrical Engineering.
  • Specific research experience in neural rendering, view synthesis, or 3D reconstruction.

Culture & Benefits

  • Work in a highly innovative and collaborative research environment.
  • Access to world-class resources and a global team of experts.
  • Commitment to diversity, inclusion, and accessibility as fundamental values.
  • Focus on lean habits and making phenomenal decisions.
  • Support for reasonable accommodations and inclusive workplace practices.

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