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Computer Vision Machine Learning Specialist

vor 2 Monaten


Wien, Wien, Österreich Snap Technology GmbH Vollzeit

Position Overview:

Snap Technology GmbH is seeking a Machine Learning Engineer specializing in Computer Vision. In this pivotal role, you will be at the forefront of developing advanced technologies that bridge the gap between the physical and digital realms through innovative wearable computing devices.

Key Responsibilities:

  • Design and implement cutting-edge technologies for the upcoming generation of augmented reality devices.
  • Investigate and enhance state-of-the-art algorithms in machine learning and computer vision.
  • Build and deploy robust machine learning models.
  • Collaborate with cross-disciplinary teams in engineering and research focused on computer vision, machine learning, and graphics.

Essential Skills and Qualifications:

  • Profound knowledge of machine learning concepts, methodologies, and frameworks to create networks and models tailored for computer vision applications.
  • Proficient in understanding, debugging, and refining existing code, alongside developing new algorithms utilizing advanced techniques in computer vision and machine learning.
  • Excellent communication and interpersonal abilities.
  • A strong enthusiasm for acquiring new knowledge and supporting colleagues in their professional growth.

Minimum Requirements:

  • Bachelor's degree in a relevant technical discipline such as computer science or mathematics, or equivalent experience.
  • A minimum of 2 years of experience in research or engineering with machine learning methodologies, particularly in areas like object detection, tracking, and scene understanding.
  • Familiarity with machine learning frameworks (e.g., PyTorch, TensorFlow) and cloud platforms (e.g., Google Cloud, AWS).
  • Experience in software development using Python or C++.

Preferred Qualifications:

  • Master's degree in a related field such as Computer Vision or Machine Learning.
  • Experience in optimizing neural networks for efficient deployment on resource-constrained devices.
  • Knowledge in geometric computer vision techniques, including multi-view 3D reconstruction and depth estimation.

Company Culture: At Snap Technology GmbH, we value collaboration and believe that working together fosters a vibrant culture and enhances our ability to serve our community and partners effectively. We encourage a diverse workforce and are committed to creating an inclusive environment for all employees.

Benefits: We offer a comprehensive benefits package designed to support the well-being of our employees and their families, including medical coverage, mental health support, and parental leave.