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Computer Vision Engineer

SR2 | Socially Responsible Recruitment | Certified B Corporation™
Leipzig, DE
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Join an exciting and forward-thinking start up that is transforming the world of entertainment and media with cutting-edge AI and technology.

We are on the lookout for a talented computer vision engineer to join our passionate team and drive the next wave of innovation in this dynamic industry.

This is a remote position, but you must be based in Germany.

About the Role :

As a computer vision engineer with us, you will be at the forefront of our innovative projects, focusing on the development and implementation of advanced computer vision algorithms tailored for the entertainment and media sectors.

You will design, develop, and optimize algorithms for a range of applications, from real-time image and video processing to immersive media experiences.

This role involves integrating these vision systems with our creative platforms, addressing challenges such as sensor data fusion, calibration, and performance optimization.

Staying abreast of the latest advancements in computer vision and machine learning will be crucial as you apply cutting-edge techniques to elevate our technology.

You’ll collaborate closely with a diverse team of engineers, data scientists, and creative professionals, working together to solve complex problems and drive innovation.

Additionally, your role will require you to identify and tackle issues related to the accuracy, speed, and robustness of computer vision systems, leveraging your analytical skills to troubleshoot and refine algorithms for optimal performance.

Key Qualifications :

Programming Skills : Proficiency in C++ and Python is essential for developing and optimizing computer vision algorithms.

Experience with these languages will enable you to contribute effectively to our technical projects and systems.

  • Classical Frameworks : Strong knowledge of classical computer vision frameworks and techniques. Experience with traditional methods such as feature extraction, image segmentation, and geometric transformations will be crucial for implementing robust solutions.
  • Deep Learning Frameworks : Experience with deep learning frameworks (e.g., TensorFlow, PyTorch) is a significant advantage.

Familiarity with neural networks, training models, and integrating deep learning approaches into computer vision tasks will be highly valued.

  • Mathematical and Statistical Skills : Strong foundation in linear algebra, calculus, and probability theory. Ability to apply mathematical concepts to solve complex computer vision problems and optimize algorithms.
  • Computer Vision Tools : Experience with computer vision libraries and tools such as OpenCV, Dlib, or similar. Knowledge of image and video processing techniques is essential for developing effective solutions.
  • Algorithm Optimization : Expertise in optimizing algorithms for performance, scalability, and efficiency. Experience with parallel computing and GPU programming is a plus.
  • Software Development Practices : Familiarity with version control systems (e.g., Git), continuous integration / continuous deployment (CI / CD), and agile development methodologies.

Strong coding practices and an understanding of software engineering principles are important.

Communication Skills : Excellent written and verbal communication skills. Ability to clearly articulate complex technical concepts to both technical and non-technical stakeholders.

What We Offer :

Enjoy the flexibility of a remote work model while being part of a dynamic and creative startup environment where your ideas and contributions are valued.

Engage in a culture that encourages experimentation and growth, with opportunities to lead and influence exciting projects.

Contribute to groundbreaking work that is setting new standards in the entertainment and media industry. Your contributions will directly impact the development of innovative technologies and media experiences.

Join a team of driven professionals who are passionate about pushing the boundaries of technology and media, and benefit from a collaborative atmosphere where knowledge sharing and teamwork are at the core of our success.

If you are excited about working at the cutting edge of entertainment and media technology, eager to tackle complex challenges, and ready to make a significant impact, we would love to hear from you.

Explore this opportunity to be part of something transformative and exciting.

Vor 9 Tagen
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