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Title
Text copied to clipboard!Computer Vision Engineer
Description
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We are looking for a highly skilled Computer Vision Engineer to join our technology team. As a Computer Vision Engineer, you will be responsible for designing, developing, and implementing advanced computer vision algorithms and systems that enable machines to interpret and understand visual information from the world. You will work closely with cross-functional teams including data scientists, software engineers, and product managers to build innovative solutions in areas such as image recognition, object detection, video analysis, and 3D reconstruction.
Your role will involve researching the latest advancements in computer vision and machine learning, prototyping new ideas, and deploying scalable solutions into production environments. You should have a strong background in computer vision, deep learning, and software development, along with a passion for solving complex problems and pushing the boundaries of what machines can see and understand.
Key responsibilities include developing and optimizing computer vision models using frameworks such as TensorFlow, PyTorch, or OpenCV; integrating vision systems into real-time applications; and collaborating with hardware teams to ensure efficient deployment on edge devices. You will also be expected to evaluate model performance, conduct error analysis, and continuously improve the accuracy and efficiency of vision systems.
The ideal candidate will have a Master’s or Ph.D. in Computer Science, Electrical Engineering, or a related field, with a focus on computer vision or machine learning. Strong programming skills in Python and C++, experience with GPU programming, and familiarity with cloud platforms such as AWS or Azure are highly desirable.
This is an exciting opportunity to work on cutting-edge technologies that have real-world impact across industries such as autonomous vehicles, healthcare, robotics, and augmented reality. If you are passionate about computer vision and want to be part of a dynamic and innovative team, we encourage you to apply.
Responsibilities
Text copied to clipboard!- Design and implement computer vision algorithms and models
- Develop and optimize deep learning models for image and video analysis
- Integrate vision systems into real-time applications and products
- Collaborate with cross-functional teams to define system requirements
- Conduct research on state-of-the-art computer vision techniques
- Evaluate and improve model performance through testing and analysis
- Deploy models on cloud and edge platforms
- Maintain and update existing vision systems
- Document technical designs and development processes
- Participate in code reviews and contribute to best practices
Requirements
Text copied to clipboard!- Master’s or Ph.D. in Computer Science, Electrical Engineering, or related field
- Strong knowledge of computer vision and machine learning
- Proficiency in Python and C++ programming languages
- Experience with deep learning frameworks such as TensorFlow or PyTorch
- Familiarity with OpenCV and other vision libraries
- Understanding of image processing and 3D reconstruction techniques
- Experience with GPU programming and optimization
- Knowledge of cloud platforms like AWS, Azure, or GCP
- Strong problem-solving and analytical skills
- Excellent communication and teamwork abilities
Potential interview questions
Text copied to clipboard!- What experience do you have with computer vision projects?
- Which deep learning frameworks are you most comfortable with?
- Have you deployed models to production environments before?
- Can you describe a challenging vision problem you solved?
- What is your experience with real-time image processing?
- How do you evaluate the performance of a vision model?
- Have you worked with edge devices or embedded systems?
- What is your approach to optimizing model inference speed?
- How do you stay updated with the latest research in computer vision?
- Are you comfortable working in a collaborative, cross-functional team?
