Opublikowany 2025-05-27
We are looking for smart, creative and passionate people who want to help build a great and enduring company and deploy Deep Learning to the world!
What you will do
• 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, Tensor Flow, Torch) and deploy on a diversity of hardware platforms
What you need to be successful
• Masters or Ph D in CS / EE or equivalent with stellar academic performance
• 6+ years of Machine Learning/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 strong work ethic to completing assigned tasks and projects within established deadline
Published research in peer-reviewed journal is a huge plus!
Why Focal Systems
Strong Values and Mission - We are a tightly-knit team with an ambitious mission and a strong set of core values, which define our approach to business and have successfully guided us since inception.
Exceptional Team - We are a team of hard-working, fun-loving professionals from some of the most eminent universities, research labs, and tech companies of our time. We pride ourselves on recruiting exceptional individuals to help us redefine the state-of-the-art.
Outstanding Partners - We work with 10+ of the largest retailers in the world and have a world-class roster of investors, advisors and partners to support & advise us in our endeavors.
What we offer
We care deeply about the health, happiness, and wellbeing of all of our employees. We offer:
• Competitive salary
• Stock options package
• Quarterly team retreats
• Education grants
