Full-Time

Senior Deep Learning and Computer Vision Engineer

Confirmed live in the last 24 hours

Volt AI

Volt AI

11-50 employees

Cloud-based enterprise security and AI risk intelligence

AI & Machine Learning
Data & Analytics

Senior

Bethesda, MD, USA

Required Skills
Python
Tensorflow
Keras
Pytorch
Computer Vision
Requirements
  • BS, MS, or Ph.D. in Computer Science, Robotics, or similar technical field of study
  • Minimum of 5 years of relevant industry experience
  • Extensive background in deep learning networks using TensorFlow, Keras, Caffe, or similar
  • Deep technical understanding of computer vision and machine learning
  • Experience with state of the art CV/ML models and tools
  • Experience technically leading a team and driving technical directions
  • Experience in Python and/or C++
  • 2+ years of experience as an engineering manager is a plus
  • Strong written and verbal communications
Responsibilities
  • Implementing and deploying an object detection using TensorRT, TensorFlow, PyTorch, and other frameworks
  • Build people tracking across thousands of cameras
  • Optimize models for running on embedded hardware or scaling model parallelization on the servers
  • Detecting unusual object addition/removal in a scene
  • Build activity classification and anomaly detection for a given scene
  • Detecting and counting object and people frequencies
  • Take ownership of a wide range of systems and drive projects from concept through shipping.

Volt AI specializes in cloud-based enterprise security, featuring cutting-edge technologies such as real-time video intelligence, geolocation, and tracking for swift and precise incident management. This ensures a workplace that prioritizes high standards of security and innovation, supporting a culture of safety and advanced technological adoption. The company’s focus on AI risk intelligence positions it as a leader in the security sector, making it an exceptional place for professionals keen on pioneering security solutions and technologies.

Company Stage

Series A

Total Funding

$12M

Headquarters

Washington, District of Columbia

Founded

2019

Growth & Insights
Headcount

6 month growth

-13%

1 year growth

92%

2 year growth

257%