Computer Vision Engineer

About the position

As a Computer Vision Engineer, you will develop and optimize cutting-edge computer vision algorithms and deep learning models for image and video analysis. You will play a key role in integrating and deploying scalable, high-performance vision-based solutions into real-world applications. Success in this role will be defined by your ability to enhance model accuracy, improve system efficiency, and contribute to innovative AI-driven products that push the boundaries of computer vision technology. You will be responsible for working within the framework of a team and performing the following activities:

Responsibilities

• Develop and implement computer vision algorithms: Design, develop, and implement computer vision algorithms for tasks such as object detection, segmentation, tracking, and feature extraction in image and video analysis.
• Integrate computer vision solutions: Collaborate with cross-functional teams to deploy and embed computer vision capabilities into various products, including but not limited to our Simsei Simulation program, ensuring seamless functionality.
• Optimize and enhance system performance: Improve the accuracy, efficiency, and scalability of existing computer vision systems while refining algorithms for real-world applications.
• Research and stay up-to-date with advancements: Continuously explore emerging technologies and methodologies in computer vision, applying insights to enhance model performance and innovation.
• Test, validate, and deploy models: Ensure the robustness of computer vision algorithms in practical applications, maintaining models in production environments for scalability and reliability.
• Monitor and troubleshoot deployed systems: Identify and resolve performance issues, implementing updates and enhancements to improve accuracy and efficiency over time.

Requirements

• Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering or related engineering field with an emphasis on computer vision, or relevant experience.
• Minimum of three years of relevant work experience or any equivalent education and/or experience from which the following skills and abilities have been demonstrated.
• Good analytical skills and a solid foundation in mathematics.
• Deep understanding of and hands-on experience in state-of-the-art image processing, computer vision, machine learning and deep learning algorithms.
• Strong development skills using C++ and/or Python.
• Experience applying traditional computer vision and deep learning algorithms to solve a wide range of problems such as object detections, object segmentations, object tracking and feature extractions.
• Experience with data science and computer vision libraries, including NumPy, Pandas, SciPy, Matplotlib, Scikit-learn, and OpenCV.
• Experience with deep learning frameworks, such as PyTorch, TensorFlow, Keras, etc.

Nice-to-haves

• Experience with medical image analysis and/or medical application.
• Experience with streaming of images and real-time image analysis.
• Experience with computer graphics and visualization.
• Experience with using Database servers like MySQL, SQL Server, etc.
• Experience with cloud services such as Amazon Web Services (AWS), Azure, and Google Cloud Platform (GCP).

Benefits

• Competitive compensation range: $80000 - $140000 / year (California).
• Comprehensive benefits package.
• Training and mentorship opportunities.
• On-campus wellness activities.
• Education reimbursement program.
• 401(k) program with discretionary employer match.
• Generous vacation accrual and paid holiday schedule.