Senior Deep Learning Engineer Job

Date published: June 6, 2024

ID: 12665 Location: Budapest Job type: Other

Our partner create next generation automotive software solutions which make automated driving safe and affordable. We are looking for a Senior Deep Learning Engineer in our international partners team to Budapest with relevant experience and strong English knowledge.


  • Develop and apply SOTA technologies like diffusion models, multimodal networks, generative AI tehcnologies
  • Develop cutting-edge deep learning methods for comprehensive environmental modeling using camera, lidar, and radar sensor data
  • Develop, analyze and improve deep learning algorithms for complex scene understanding, computer vision (2-D and 3-D object detection, semantic segmentation, human pose estimation), point cloud analysis, sensor fusion, model fusion, and more
  • Utilize vast computing power and extensive data to train models and conduct evaluations.
  • Collaborate with international experts and benefit from university collaborations
  • Participate in real-world field tests based on your interests


  • MSc or PhD in a quantitative field (e.g., computer science, electrical engineering, mathematics, physics, data science)
  • Minimum of 5 years of relevant work experience
  • Strong expertise and passion for artificial intelligence
  • Advanced proficiency in Python and PyTorch
  • Solid understanding of computer science and software engineering principles
  • Excellent English communication skills, both written and spoken
  • Collaborative mindset and ability to thrive in a professional team environment
  • Proficiency in C++
  • Experience with embedded systems optimization techniques

Nice to have:

  • Advanced skills in DevOps, Docker, and Command Line Magic
  • Demonstrated success in applying machine learning for real-world impact
  • Expertise in fine-tuning deep neural networks
  • Familiarity with large-scale data processing technologies

What we offer:

  • Competitive compensation
  • Bonus system
  • Annual flexible benefit (Cafeteria)
  • Private health insurance
  • Employee discounts
  • Sport pass support
  • Personal career development

Application with CV

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