Full-Time

Principal Deep Learning Engineer

US

Posted on 4/5/2024

Focal Systems

Focal Systems

51-200 employees

AI-powered shelf scanning for operational efficiency

AI & Machine Learning
Consumer Goods
Data & Analytics

Expert

San Francisco, CA, USA

Required Skills
Tensorflow
Data Structures & Algorithms
Keras
Pytorch
Computer Vision
Requirements
  • PhD in CS/EE or equivalent
  • 10+ years of direct Machine Learning or Deep Learning experience in a corporate environment
  • Significant experience training Convolutional Neural Networks (CNNs)
  • Experience with Keras (Tensorflow) / Pytorch
  • Training Deep Learning Computer Vision (DL CV) applications in a corporate environment
  • Startup mentality, team player, and willing to work 40+ hours a week
  • Published research in peer-reviewed journal
Responsibilities
  • Develop state-of-the-art and novel deep neural network architectures
  • Develop training & testing pipelines to assess the performance of architectures on relevant image processing tasks
  • Keep up with deep learning literature and research publications to implement the latest techniques into networks and pipelines
  • Develop machine-learning algorithms on various software frameworks and deploy on different hardware platforms

Focal Systems specializes in optimizing retail operations through its FocalOS product, which integrates advanced AI and computer vision technologies. By automating tasks such as shelf scanning, the company aids in significantly reducing operational costs by up to 50%. Working at this company offers the opportunity to engage in cutting-edge technology applications within the retail sector, contributing to transformative solutions that enhance efficiency and competitiveness in the industry.

Company Stage

Series B

Total Funding

$41.8M

Headquarters

Burlingame, California

Founded

2015

Growth & Insights
Headcount

6 month growth

33%

1 year growth

48%

2 year growth

123%
INACTIVE