As an Applied AI Researcher, you will be responsible for researching, designing, and developing state-of-the-art deep learning solutions for various computer vision tasks, such as classification and detection.
Your role will involve reviewing academic research, implementing cutting-edge techniques, and innovating novel approaches to tackle complex vision challenges.
Your role will involve reviewing academic research, implementing cutting-edge techniques, and innovating novel approaches to tackle complex vision challenges.
Key Responsibilities:
Lead the development of vision solutions in unexplored areas where existing knowledge is limited and take algorithms from concept to production.
Conduct research and review academic papers to design and implement scalable state-of-the-art solutions for computer vision tasks.
Define requirements for datasets and optimize models for performance.
Requirements:
PhD degree in Computer Science, Electrical Engineering, or a related field from a leading university.
At least 3 years of hands-on experience in the research and development of deep learning algorithms for computer vision.
Proficiency in PyTorch, Python, and Git on a Windows environment.
Strong problem-solving abilities with experience developing innovative algorithms from scratch.
Familiarity with C ++ and C # is an advantage.
Excellent teamwork and communication skills, with a strong collaborative mindset.
Ability to navigate ambiguous research areas and contribute to new advancements in the field.
PhD degree in Computer Science, Electrical Engineering, or a related field from a leading university.
At least 3 years of hands-on experience in the research and development of deep learning algorithms for computer vision.
Proficiency in PyTorch, Python, and Git on a Windows environment.
Strong problem-solving abilities with experience developing innovative algorithms from scratch.
Familiarity with C ++ and C # is an advantage.
Excellent teamwork and communication skills, with a strong collaborative mindset.
Ability to navigate ambiguous research areas and contribute to new advancements in the field.
This position is open to all candidates.
