Leica Geosystems part of Hexagon

Experienced Machine Learning Engineer (f/m/d)

Job description

Committed and with passion for precision we create digital reality solutions combining sensor, software, and autonomous technologies to empower a sustainable future.

Hexagon`s Technology Center (HTC) is the central R&D organization. HTC drives the evaluation and introduction of new technologies to our partners in in the fields of surveying, reality capture, metrology, security and agriculture.

You will be part of a team of machine learning experts that research, design, implement and optimize neural networks and computer vision algorithms. These alogrithms advance the state of the art in image and point cloud processing using LIDAR and image data.

Experienced Machine Learning Engineer (f/m/d)



This appeals to you

  • Developing end-to-end machine learning pipelines for 3D computer vision tasks
  • Conduct feasibility studies to develop and analyze new and innovative algorithms for complex problem statements
  • Collaborate with other machine learning experts and stakeholders across Hexagon divisions

This is you

  • A university degree (Master / Ph.D.) in computer science, mathematics or engineering with focus on machine learning
  • Extensive knowledge in deep learning techniques and architectures
  • Experiences in training and evaluating neural networks from data ingestion to model deployment
  • Solid computer vision background and domain expertise in object detection, semantic & instance segmentation, 3D reconstruction
  • Proficient in Python, PyTorch or Tensoflow
  • Strong communication and collaboration skills
  • Readiness to relocate to St. Gallen area

About Us

Hexagon is a leading provider of digital reality solutions and employs more than 21,000 people in 50 countries. You will be part of a strong, experienced, inspiring and motivated team of experts driving the future of Hexagon. You will use and develop your skills in our highly innovative and diverse environment.

Flexible working models allow you to ideally combine work and private interests.

If you have any questions about our positions or our company, please do not hesitate to contact Yevheniia Dolia

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