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Paid Internship
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12Open Positions

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Deep Learning Engineer Intern - 4D Computer Vision & Neural Rendering

AUMOVIO
Found 2 months ago
Location
Budapest, Hungary
Duration (Months)
1.5 Months
Time
Part-time
Work Mode
Not disclosed
Salary
Not disclosed
Visa Help
Not disclosed
Last Verified
1 month ago

Education

  • Master
  • PhD
  • Bachelor

Skills & Qualifications

Technical Skills

  • Python
  • PyTorch
  • Deep Learning
  • Computer Vision
  • neural rendering
  • NeRF
  • 3DGS
  • multi-view geometry
  • Linear Algebra
  • matrix factorization
  • coordinate transformations
  • optimization
  • 3D geometry

Job Description

We are looking for an intern to advance our capabilities in 4D scene reconstruction. In this role, you will research and implement novel view synthesis techniques to generate photorealistic, temporarily consistent digital twins of dynamic road environments. This work directly impacts the training and validation of our autonomous driving perception stacks. Your tasks: Develop algorithms to reconstruct moving objects and deformable scenes from multi-view automotive data Build robust pipelines for novel view synthesis, 4D data labelling, and synthetic data augmentation Implement high-performance Python code using PyTorch to integrate research prototypes into our simulation framework Apply advanced linear algebra and 3D geometry principles to solve complex projection and reconstruction problems

Requirements

  • Ongoing Master's or PhD (or BSc with relevant experience) studies at a Hungarian university for at least 1.5 years in a technical area: Computer Science, Robotics, Mathematics, or a related area
  • Proficiency in Python and PyTorch
  • Strong background in Deep Learning and Computer Vision, specifically in neural rendering (NeRF, 3DGS) or multi-view geometry
  • Rigorous understanding of Linear Algebra (matrix factorization, coordinate transformations, optimization)
  • Good command of English language

Related Field

  • AI & Machine Learning

Related Subfield

  • Computer Vision

Languages

  • English

Nice to Haves

  • Familiarity with automotive sensor data (LiDAR/Camera fusion).
  • Experience with SfM pipelines (e.g., COLMAP)
▶Apply Now

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