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Den Haag, Zuid-Holland, Nederland Robin Radar Systems Voltijd
Job Title: Senior Deep Learning Engineer

About the Role:

We are seeking a highly skilled Senior Deep Learning Engineer to join our R&D team at Robin Radar Systems. As a key member of our team, you will be responsible for advancing our radar capabilities through the development and optimization of neural networks for real-time radar image processing.

Key Responsibilities:

  • Design and implement advanced deep learning techniques for radar image processing.
  • Develop and optimize neural networks for real-time object detection and classification.
  • Collaborate with radar and software engineers to integrate models into our products.
  • Contribute to the development of innovative solutions for rapid model improvement with new data.
  • Work closely with the data team to ensure high-quality data for model training and evaluation.

Requirements:

  • Master's degree (MSc) or equivalent experience in a relevant field.
  • Extensive experience in artificial intelligence, particularly in computer vision techniques such as object detection, segmentation, and classification.
  • Proficiency in deep learning frameworks, with a preference for PyTorch.
  • Proven experience in designing, applying, and automating labeling strategies.
  • At least 3-5 years of relevant experience.

What We Offer:

  • A dynamic and collaborative work environment.
  • Opportunities for professional growth and development.
  • A competitive salary and benefits package.
  • The chance to work on cutting-edge projects and contribute to the advancement of radar technology.

About Us:

Robin Radar Systems is a technology leader in tracking and classification of small objects. Our mission is to increase the safety of people and wildlife by preventing bird strikes in aviation, reducing the environmental impact of wind farms, and protecting humans and critical infrastructure against drones. We achieve this by combining purpose-built radars with unique software algorithms.

Join Our Team:

We are a Great Place to Work certified company, and we offer a hybrid work environment that allows for flexibility and work-life balance. If you are a motivated and experienced deep learning engineer looking for a new challenge, please submit your application.