Computer Vision Engineer
Kula ExampleLocation
San Francisco, California, United States
Type
Full time
About the Role
Seeking a Computer Vision Engineer to develop image and video analysis systems for our product suite.
Requirements
- 3+ years of experience in computer vision and deep learning
- Strong proficiency in Python and C++ programming languages
- Expertise in OpenCV, TensorFlow, or PyTorch
- Bachelor's or Master's degree in Computer Science or Electrical Engineering
Responsibilities
- Design and deploy real-time computer vision pipelines to efficiently process and analyze visual data, utilizing a combination of computer vision and machine learning algorithms
- Develop and train convolutional neural networks (CNNs) and vision transformer models to achieve high accuracy in object detection, segmentation, and image classification tasks
- Collaborate closely with the engineering team to integrate computer vision models into production applications, ensuring seamless integration and optimal performance
- Optimize CNN and vision transformer models to improve computational efficiency and reduce latency, thereby enhancing the overall user experience
About Kula Example
<cite index="3-7,3-8">Kula is an AI-native applicant tracking system that unifies sourcing, screening, scheduling, and analytics in one flow. By centralizing sourcing, screening, scheduling, and interview intelligence into a single workflow, it eliminates manual data entry and provides real-time hiring insights to help teams scale faster and more effectively.</cite>
Industry
Human Resources / Recruiting Software</industry>
<parameter name="hq_location">Walnut, California, United States
Company size
51-100
Founded
2021
Applicant Tracking System (ATS)Candidate SourcingAI-Powered Resume ScreeningInterview SchedulingHiring AnalyticsAutomated OutreachCRM for Recruiting
Interested in this role?
Apply now to join Kula Example.