Full-Time
Senior Deep Learning Engineer
US
Posted on 9/26/2023
Utilizes AI for automated store operations
Senior
San Francisco, CA, USA
- Masters or PhD in CS / EE or equivalent
- 6-10 years of direct Machine Learning or Deep Learning experience in a corporate environment (post academia)
- 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
- 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 in order to implement the latest techniques into our networks and pipelines
- Develop machine-learning algorithms on a breadth of software frameworks (Keras, TensorFlow, Torch) and deploy on a diversity of hardware platforms
Focal Systems specializes in leveraging advanced AI and computer vision technology through their main product, FocalOS, which uses low-cost shelf cameras to automate and optimize store operations. Achieving up to 50% cost savings on manual shelf scanning, the company stands at the forefront of redefining operational efficiencies in retail settings. This focus on cutting-edge technology and operational excellence makes it an ideal workplace for professionals looking to advance in AI-driven environments and contribute significantly to industry-leading solutions.
Company Stage
Series B
Total Funding
$41.8M
Headquarters
Burlingame, California
Founded
2015