Computer Vision Machine Learning Specialist
vor 1 Woche
Position Overview:
We are seeking a Machine Learning Engineer with a focus on Computer Vision to contribute to innovative projects in the realm of augmented reality. This role is pivotal in developing cutting-edge technologies that bridge the gap between the physical and digital worlds.
Key Responsibilities:
- Design and implement advanced technologies for next-generation wearable AR devices.
- Investigate and enhance state-of-the-art algorithms in machine learning and computer vision.
- Build and deploy machine learning models tailored for real-world applications.
- Collaborate with interdisciplinary teams specializing in computer vision, machine learning, and graphics.
Essential Skills and Qualifications:
- Strong grasp of machine learning concepts, frameworks, and methodologies for developing models aimed at computer vision tasks.
- Proficient in debugging and refining existing code, as well as creating new algorithms using advanced techniques in computer vision and machine learning.
- Excellent communication and interpersonal abilities.
- A genuine enthusiasm for continuous learning and supporting team members' 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 roles focused on machine learning, 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 (e.g., Computer Vision, Machine Learning).
- Experience optimizing neural networks for deployment on resource-constrained devices.
- Knowledge in geometric computer vision techniques such as 3D reconstruction, SLAM, and depth estimation.
Company Culture: At Snap Technology GmbH, we prioritize collaboration and innovation. We believe that a diverse team enhances our ability to create groundbreaking products that enrich people's lives. We are committed to equal employment opportunities and fostering an inclusive workplace.
Benefits: We offer a comprehensive benefits package designed to support the well-being of our employees and their families, including health coverage, parental leave, and programs focused on mental health and wellness.
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