Real-Time Computer Vision Engineer

Kula Example; San Francisco (CA); On-site; USD 120,000 - 180,000; Full time

Job summary

Kula Example in San Francisco seeks a Computer Vision Engineer to develop image and video analysis systems for our product suite. You will implement real-time pipelines and advanced ML models to power features across our platform.

Candidates should have 3+ years in CV and DL, strong Python and C++, and hands-on experience with OpenCV and ML frameworks. This role offers opportunities to optimize models for latency and integrate them into production.

Qualifications

• 3+ years of experience in computer vision and deep learning.
• Strong proficiency in Python and C++.
• Experience with OpenCV, TensorFlow, or PyTorch.
• Bachelor’s or Master’s in Computer Science or Electrical Engineering.

Responsibilities

• Design and deploy real-time computer vision pipelines to process and analyze visual data.
• Develop and train CNNs and vision transformer models for object detection, segmentation and classification.
• Collaborate with the engineering team to integrate models into production applications.
• Optimize models to improve computational efficiency and reduce latency.

Skills

Computer vision

Deep learning

Python

C++

Education

Bachelor's or Master's in Computer Science or Electrical Engineering

Tools

OpenCV

TensorFlow

PyTorch

Job description

Kula Example in San Francisco seeks a Computer Vision Engineer to develop image and video analysis systems for our product suite. You will implement real-time pipelines and advanced ML models to power features across our platform.

Candidates should have 3+ years in CV and DL, strong Python and C++, and hands-on experience with OpenCV and ML frameworks. This role offers opportunities to optimize models for latency and integrate them into production.