INACTIVE
Full-Time
Principal Deep Learning Engineer
US
Posted on 4/5/2024
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