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Lead Applied Scientist in Visual Technologies
2 months ago
Senior Applied Scientist in Visual Technologies
As a Senior Applied Scientist at AKOOL, you will focus on pioneering advancements in visual technologies. This position involves creating state-of-the-art solutions for video generation that redefine quality and innovation in commercial products.
Key Responsibilities:
- Develop and execute sophisticated algorithms in computer vision aimed at superior video generation and editing.
- Engage in the creation of groundbreaking technologies such as video asset manipulation and digital human development.
- Work collaboratively with multidisciplinary teams to embed AI innovations into intuitive products.
- Stay informed on the latest developments in AI, machine learning, and computer vision to continually enhance our product offerings.
- Conduct in-depth research and experiments to address challenging video generation issues.
- Refine algorithms for improved efficiency, scalability, and dependability.
Qualifications:
- PhD or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related discipline.
- Proven expertise in computer vision, AI, and machine learning, particularly in video processing.
- Skilled in programming languages such as Python, C++, or equivalent.
- Experience with deep learning frameworks including TensorFlow, PyTorch, etc.
- Demonstrated success in complex research initiatives with cross-functional teams.
- Exceptional problem-solving, analytical, and communication abilities.