Computer Vision Research Engineer

Full-time
3 years of experience Hybrid
Data,Tech

Job description

## About the job

We are looking for a talented and passionate Computer Vision Research Engineer to join our team. As a Computer Vision Research Engineer, you will be at the forefront of developing and implementing innovative algorithms for synthetic data generation. You will work on challenging problems related to image and video synthesis, 3D reconstruction, and generative models. You will collaborate with a team of experienced researchers and engineers to push the boundaries of what's possible in synthetic data.

## Responsibilities

  • Conduct cutting-edge research in computer vision, with a focus on synthetic data generation.
  • Develop and implement novel algorithms for image and video synthesis, 3D reconstruction, and generative models.
  • Publish research findings in top-tier conferences and journals.
  • Collaborate with other researchers and engineers to integrate research results into our platform.
  • Stay up-to-date with the latest advancements in computer vision and deep learning.
  • Contribute to the development of intellectual property.

Preferred experiences

  • 3+ years of experience in computer vision research.
  • Strong publication record in top-tier conferences and journals (e.g., CVPR, ICCV, ECCV, NeurIPS).
  • Expertise in deep learning frameworks (e.g., PyTorch, TensorFlow).
  • Proficiency in Python and C++.
  • Experience with 3D computer vision techniques (e.g., SLAM, SfM, MVS).
  • Experience with generative models (e.g., GANs, VAEs) is a plus.
  • Strong problem-solving and analytical skills.
  • Excellent communication and teamwork skills.
  • PhD in Computer Science or a related field.

Interview process

  1. First interview with one of the co-founders
  2. Technical interview with 2 researchers
  3. On-site interview with the whole team
Startup Image

Ocell

OCELL is a Munich-based climate-tech startup that develops local climate projects that are transparent, measurable, and effective. Their mission is to unlock the full potential of forests and make a significant contribution to climate mitigation. To achieve this, they use aerial photographs, data from various sources, and artificial intelligence to create ‘digital twins’ of forests. These provide valuable insights into forest growth, current carbon storage capacity, and other metrics, and enable them to predict optimal forest management strategies. With state-of-the-art technology and commitment to data transparency, they ensure the effectiveness of their solutions. OCELL currently manages more than 700,000 hectares of sustainable forest land in Europe, North America, and South America.

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